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Flexible Batteries Will Bring Digital Clothing Sooner Than Later

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You, my dear human, are essentially a bag of water held up against gravity by various wonders of physics, chemistry, and biology. Computers, on the other hand, tend to be square slab-like things with awkward angles and uncompromisingly hard corners. Making computers conform to human bodies--one important aspect of wearable technology--is tricky because most of the components in a computer really don't like to bend in quite the same way as do, say, your clothes. Enter a wholly new type of rechargeable battery from scientists at the Advanced Institute of Science and Technology (KAIST) in South Korea. It's not just bendy...it's actually ultra-flexible.

Battery chemistry actually often relies on fairly squishy materials--something you'll know if an AA cell has ever leaked on you or you've prodded a lithium cell inside a laptop. Yet key parts of traditional batteries just aren't flexible, typically including things like the electrodes. Innovations have been made in creating slightly flexible battery tech that's an evolution of existing designs, with LG's clever system in the news recently.

But the Korean team didn't take this approach and instead thought sideways about what material you could make a lithium battery out of. Amazingly they settled on, actually, material--technically polyester yarn, the kind of stuff you'd probably find in a good portion of your clothing.

To turn polyester into a system capable of enabling current flow inside a lithium-ion cell, the team coated the yarn's fibers with nickel to create the current collector and then with polyurethane to create electrodes. The material is capable of being laid down in wide but shallow layers, including separators to keep the electrical parts from short-circuiting. Sealing the layers together like this and including conductive thread to give the current some wires to flow in leads to a very flexible battery that's actually based on textiles--meaning it could be sewn into clothing in the same way you'd apply a leather patch.

And lest you think this tech just couldn't work, the team's battery survived a torture-folding test of over 5,500 deep fold-unfold cycles and still retained nearly 92% of its charge-holding capacity. Even more interesting is the fact that the experimental battery they made had a capacity of just 13 mAh (the iPhone 5S for comparison has a 1560 mAh unit). But because the structure of the battery is--unlike most cells--very adjustable in the manufacturing process by simply weaving it differently, it's easy to bump up the capacity.

As a final show-off the KAIST team also demonstrated that the cell was compatible with a flexible solar cell, so theoretically it could be easy to make a wearable digital computer that had a fully flexible battery powered by an external solar cell.

That wearable jacket computer you've been fantasizing about just got a lot more plausible.


Secrets From Your Smartphone's "Other" OS

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With all the information access we give our smartphones, OS security exploits rightly get immediate attention (and nearly immediate patching). But there's a secondary OS running behind iOS, Android and the rest, used exclusively to interpret radio signals to cell towers--whose 90s-era code has such minimal exploit mitigation that it's a wonder it hasn't been used for large-scale hacks or pranks.

For starters, this OS operates in real-time--it's called a real-time OS, or RTOS--and sits in firmware running on the baseband processor (which is the master to the application processor running the front-end OS). The software here is all proprietary, its source code locked, preventing peer review. As OSNews' Thom Holwerda points out, this is by design, since the baseband processor/radio combo were designed in the 80s, coded in the 90s, and built to inherently trust incoming data from a base station like a cell tower. And since baseband controls radio, you can hack it over the air--no local connection to the device is required.

So what's standing between you and widespread hacking? Nothing but ignorance. Coded 20 years ago and fully proprietary, the antiquity and lack of awareness of around RTOSes are their saving grace; in fact, the OS only exists on Wikipedia as a single note referencing Holwerda's article. On the other hand, most phone providers buy off-the-shelf baseband implementation, meaning that if you crack one, you crack them all.

"Baseband hacking" became a real thing to fear as far back as 2008 when the jailbreak pioneering iPhone Dev Team spoke about iPhone baseboard hacking possibilities at 25C3 in Berlin. University of Luxembourg Security Researcher Ralf Philipp Weinmann discussed it at DeepSec2010 and it finally buzzed around the mediasphere in early-to-mid 2011 after Weinmann's Black Hat presentation.

Despite Weinmann's ability to hack one of these with an airborne 73-byte message to get a remote code execution, the execution of such a hack is still difficult for the average hacker--so much that a $100,000 prize was left on the table at last weekend's Pwn2Own competition in Tokyo after hackers failed to hack any phone's baseband processor.

Know anyone who can crack a RTOS? We'd love to hear about them. Tweet us @fastcolabs and let us know.

The Argument For Worker-Owned Tech Collectives

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For all the tales of gilded startup parties and billion-dollar valuations, tech workers are often the most overworked, misunderstood and undervalued employees. Others struggle as freelancers or attempt to launch their own businesses. In the face of all that hardship, developers like me are turning more and more to collectives.

I've been a part of the cooperative movement for eight years. During that time, I've visited conferences and cities all over the country to promote the worker-owned co-op I founded, The Toolbox for Education and Social Action, or TESA. (You might recognize the game I created there, Co-opoly: The Game of Cooperatives.)

While traveling the country, I've watched as the number of people launching co-ops has exploded, especially in tech world. And while they might be flying under the radar in the mainstream, they're poised to shake up the way things are done. Just last month, eighteen of these cooperatives launched the Tech Co-op Network.

Here's how technology co-ops work, and why you might want to join one.

The Cooperative Difference

Tech worker co-ops come in all shapes and sizes and operate across a wide variety of industries. From web development to graphic design, web hosting, engineering, manufacturing, and more--technology workers anywhere can band together to accomplish what they couldn't do alone.

What makes cooperatives an exciting alternative is their structure: they are democratic businesses owned and operated equally by a specific membership. Some co-ops have memberships composed of only workers, some of consumers, some of producers. Each owner only has one share and one vote in the organization. During the good times, these co-op members share the benefits equally; and in the hard times, they share the burdens equitably. This makes them more sustainable in low-income communities as well as economic downturns. There are cooperative art galleries, cafes, print shops, farms, grocery stores, and much more.

To be clear, this is not like being offered a stock option in the company you work for. As an example, if a tech business earns five million dollars in profits, all of that money is typically controlled by one person, a small private group, or unevenly distributed amongst shareholders. In a worker co-op, however, each worker owns an equal share of the company's finances. One worker, one share, one vote.

How Tech Co-ops Are Changing The Game

Sassafras Tech Collective is a young worker co-op, launched only six months ago, that focuses on web and app design and development for social justice orgs, non-profits, academics, artists, and others. The two founding members, Jill Dimond and Tom Smyth, began Sassafras after completing their PhDs at the Georgia Institute of Technology. Both of their studies focused around issues of social change and technology. Dimond and Smyth, wanting to continue this work outside of academia, decided to launch a business that would make a difference in the world.

"In having a democratic workplace where everyone is a worker and an owner, we thought that we could help bring about social change by starting with ourselves," Dimond says. "As a woman in technology, I have long been concerned about diversity issues in computing. By creating a more egalitarian workplace, we hope to also create a safe space for those who are underrepresented in tech such as women and people of color."

This is an important point. The democratic nature of worker-owned businesses means they must be responsive to the needs of their membership, thus making them better suited to address issues of diversity. Historically, the tech world has not been a friendly space for women, and Dimond has firsthand experience with that issue.

"I still deal with stereotypes and issues as a woman when I go to various tech events and talk to prospective clients," she says. "In a former job, I experienced sexual harassment from a client but I was not in a situation where I could do much about it. Being a worker-owner gives me agency about what kind of clients we take on and ensures that my voice will be heard."

While both Dimond and Smyth have worked for major corporations--Dimond for Google and Smyth for Microsoft Research--they're happy to be in a small co-op.

"We have more agency to determine what types of projects and work we want to do," says Dimond.

Gaia Host Collective, another worker-owned entity, offers internet hosting services with an environmentally and socially sustainable business model. Gaia began when two neighbors purchased a fledgling web hosting service, starting them off with two servers and fifty monthly customers. Today, Gaia has grown all of those numbers: the servers, the worker-owners, and the clients. It hasn't all been rosy, however. The first several years were a constant struggle, with members working long hours and barely scraping by financially.

And even though their employees (the worker-owners) aren't making a killing just yet, the benefits they see from sharing the responsibilities of ownership go much deeper.

"We have a stable and growing financial outlook that we manage collectively as worker-owners," says Charles Strader, one of the founding members. "Being a cooperative has benefited our workers with working flexible schedules, the ability to have passion and time for things outside of work, the ability to be supportive of social justice and environmental organizations and business allies as part of our regular for-profit work, to be able to have some freedom of geography in where we choose to live, to be able to work from home or from a coworking space," says Strader. "There's also a lot of intangible benefits to the camaraderie of being a co-owner in a worker cooperative that aren't easily expressed as benefits."

Gaia Host has been so pleased with the cooperative model that they and several other worker co-ops teamed up to produce "A Technology Freelancer's Guide to Starting a Worker Collective" (PDF).

Isthmus, which began in 1980, is an engineering and manufacturing cooperative based in Madison, Wisconsin. Before starting the co-op, the four founding members left another company that treated them poorly and broke numerous promises. After trying to figure out how to make it on their own, the disgruntled, out-of-work employees settled on cooperation. To them, a co-op was the best structure that would ensure the business operated fairly, preventing repeats of the outrages that caused them to leave their former jobs.

Over the years, Isthmus has had great success with the model, and the democratic structure has given worker-owners the room to grow in ways that likely wouldn't be the reality in typical workplaces.

"Most people are used to just being employees at other companies," says Ole Olson, an engineer and worker-owner at Isthmus. "When given the responsibility and power to make their own decisions, it is amazing how some people change."

"We work with several fortune 500 companies," Olson adds. "When they first learn of us they don't understand (or aren't willing to accept) how our structure works. Once we have them as a customer-they are hooked."

The Movement Grows: Launch Of The Tech Co-op Network

The cooperative model is much more than just another business structure that tech workers can consider when launching their ventures. It's a growing movement.

On in late October, 18 worker co-ops joined together to launch the Tech Co-op Network. The Network's purpose is to take cooperation in the tech world to the next level by fostering collaboration and mutual aid amongst worker-owned technology businesses. In the short time since its launch, the Network has already grown to a total of 23 members.

"Our members are small businesses, most with 3-10 worker-owners," says Brent Emerson, a worker-owner with the Electric Embers Cooperative and coordinator of the new initiative. "The Network helps us market our services and collaborate on large projects that we wouldn't be able to take on alone; to refer work to each other when we're too busy and benefit from those referrals when we're not; and to ask for and offer experienced advice about owning and operating small democratic businesses. And we assume that the network will be an evolving platform to enable projects and collaborations that we haven't even yet envisioned."

Right now, the Network provides a range of services including website and graphic design, web and email hosting, web development, IT consulting, training, computer repair and sales, social media, mobile application development, communications strategy, and more. And they plan to expand that list as their membership grows and diversifies.

Emerson also sees the launch of the network as a part of a larger trend.

"I think it's fascinating that most of our oldest member co-ops were founded around 2001-2004, right after the dot com bubble collapsed," Emerson says. "They've thrived over the past decade, but the pace of new business creation slowed a bit. Along comes another business cycle and the Great Recession, and from 2010-2013 we experienced another little boom: our community's email list more than doubled in size, tech worker co-ops were a hot topic at conferences, and new co-ops started popping up left and right. I have the sense that, in our own tiny way, this community is telling the story of skilled workers being left behind by corporate America and responding by creating their own democratic alternatives."

Brian Van Slyke is the founder of The Toolbox for Education and Social Action, a worker-owned cooperative. TESA creates educational resources on social and economic change issues, and works with other organizations to build engaging educational programs for their own causes. TESA published the award-winning Co-opoly: The Game of Cooperatives and offers several interactive online courses on co-ops and cooperation.

Just How Important Is Jony Ive To Apple?

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Steve Jobs is largely credited with turning Apple around from a near-bankrupt company to the technology powerhouse of the 21st century. But could he have done it without his trusted designer Jony Ive? I sat down with Leander Kahney, the former Wired editor, current Cult of Mac Editor-in-Chief, and The New York Times bestselling author of Jony Ive, the biography of Apple's design star, to find out.

During your research for the book, what was the most startling insight you made about Jony Ive?



It was how important he is to Apple. He is more important now than Steve Jobs was just before he died--that's what one expert told me. Clive Grinyer, former head of the UK Design Council and an old friend of Ive's, told me that he is irreplaceable. Apple would be in more trouble if he left than it was when Jobs died. In a way, this is a testament to Jobs, because he built a company that will outlast him. But in Ive's case, his talent and genius is much more singular. Grinyer feels that the design department--which is central to what Apple does--couldn't function without him.

The other startling thing was discovering his contributions to making computing tactile. I didn't put it together at first. I'd read in interviews how he added a handle to the iMac to encourage users to touch it. Not to carry it around, but to signal that it's OK to touch. Touching the machine made it less intimidating, a little more friendly and approachable. I thought this was genius.

Then I noticed that all his early computers had handles: the iBook, eMac, even the PowerMac towers. And then colleagues from his early days talked about how he added a "fiddle factor" to a lot of his early products. He noticed that people liked to play with the stylus on the Newton MessagePad, so he made his version extra fiddly. The penny dropped when I realized the iPod was an early touch-sensitive gadget, with the scrollwheel.

You can see this thread of encouraging people to touch his work all the way back to college. Of course, the iPhone and iPad are the latest expressions of that, and the effect is to make computing very tactile, very personal, intimate and human.

Your book is based on a massive amount of research and interviews. Which was your most memorable?

The most jaw-dropping experience was interviewing one of long-time members of the design team, Douglas Satzger. Doug is now heading up industrial design at Intel, but he worked inside the design studio from 1996--before Steve Jobs returned--up to the iPad. Because of the way the studio works, he was involved in everything, just like the rest of the team of designers are. Everything is designed by the group, with Jony overseeing every design decision.

Because Apple is so secretive, staff are forbidden from discussing their work with anyone--even their spouses. When I was talking to him, I could tell straight away that he'd never talked about this stuff before. His memories hadn't been formed as stories; it was just raw memory spilling out. And he was so frank and open. He didn't hold anything back. So not only was it the most revealing interview about Apple I've ever done, it was strange and fascinating to just watch him talk.

I guess it's no surprise Satzger hadn't talked openly about his experiences before?

Apple wants full control of how it communicates with the public. The best way to do this is through advertising, where it can completely control the message. Apple loses control if it talks to the press. At best, the message is filtered and diluted; at worst, the it's distorted.

Apple is extremely disciplined about this. It's communication channels are limited to its advertisements and its product presentations. It rarely collaborates with the press in any other capacity, even if the book or article promises to be spectacularly positive and reverential. Walter Isaacson' biography is one of the few exceptions I can think of.

Occasionally Apple will grant a few executive interviews before a big product launch, but these are carefully managed and controlled.

Steve Jobs managed to turn Apple around from near-bankruptcy in 1997 to the largest technology company in the world by his death. But would Jobs have been able to do this without Jony Ive?

Jony Ive was instrumental to Apple's turnaround. It was his design department that created the iMac, iPhone, iPad and scores of other hit products.

But like a lot of things, it's more complex than that. Ive wouldn't have been effective without Jobs acting as his guide and enabler (in fact, Ive struggled at Apple for years before Jobs returned). None of the products would have been successful if Tim Cook hadn't built an incredibly effective supply chain. And Apple needed the stores to get consumers to see and touch the products; and great advertising to juice awareness and demand.

Steve Jobs could be described as a "dick" when he wanted to be. How would you describe Ive's personality compared to Jobs'?

Total opposite. Calm, quiet, kind, thoughtful, polite, emphatic… the list goes on. Think of Jobs' traits and Ive is the opposite. Yet Jobs treated Ive very carefully. As far as I know, he never screamed at Ive and never freaked out. In fact, I heard the opposite--that Ive once lost his temper with Jobs and yelled at him!

He treated him this way because he was one of the few people he regarded as his equal. He never got frustrated with Ive's work. Jobs screamed and shouted when he got frustrated, when things went wrong or someone screwed up. And because they collaborated so closely, Ive's mistakes were seen as his own.

Does Ive come up with product ideas? Does he say, "I want to do a watch?" Or are product ideas still handled by Apple's CEO?



It's never that straightforward. A lot of the products come from the executive office and the lab simultaneously. The designers had prototypes for MP3 players, phones and tablets long before Jobs and his executives decided to pursue them and put the full weight of the company behind them.

Saying that, most of Apple's products originate "bottom up" with Ive and his design team. I can think of only a couple of products that were commanded by Jobs: the first iMac and the PowerMac Cube. All the others came up through the design lab: the "Luxo lamp" iMac; the Titanium and aluminum notebooks; the iPhone and iPad.

I don't know of any products that came from Tim Cook's office, though it's possible.

What was the most startling thing you learned about how Ive designs a product? They don't actually just sit around sketching products, do they?

Actually, that was one of the starling things I discovered--a lot of products do start with sketching! It seems kinda quaint, but the designers have bi-weekly brainstorming sessions where they work on problems together, as a group, and sketching is the most important expression of their ideas. They all use bound sketchbooks. After a brainstorm, Jony will collect the sketches to keep track of the best ideas.

They take the sketches to the Computer-Aided-Design (CAD) group, a team of about 15 "surfacing guys" who also work in the design studio. The designers work with the surfacing guys, turning the sketches into 3D computer models defined primarily by their surfaces--hence the name.

Then the CAD files get sent to a Computer-Numerical-Controlled (CNC) milling machine in the machine shop (which is also inside the design studio). The CNC machine cuts a physical model out of a block or RenShape, a very dense foam. This workflow allows them to very quickly turn sketches into physical objects.

Oftentimes the models are used to make decisions about the size and shape of a product. They will make a dozen models of a new product, from big to small, and line them up on a table to choose the right size. They eliminate the ones that are too big and too small and hone in on the one in the middle.

Then they iterate and iterate. They keep refining and refining, making new models until they are happy.

Note that most of the work is at the factory. Only a fraction of the designers' time is spent designing the size and shape of the product. Most of their time is spent in factories figuring out how to make these things in their millions.

What is your favorite Jony Ive product?

The new iPad Air is an amazing device. We're all a bit jaded because it's taken a few steps to get here, but if you'd been in a coma since 2007 and were given one when you woke up, you'd think you were in a different century.

For Apple, what was the most important product Jony Ive ever designed?

This is great question and is endlessly debatable. The iMac was important because it saved Apple and made his name as a designer. But the iPod transformed Apple from a niche computer company into a mainstream consumer-electronics powerhouse. But it's got to be the iPhone, because it's such a huge step forward. It's remade the entire tech industry (and a bunch of other industries besides). Multitouch makes computing much more personal, accessible and universal. Toddlers can master it, and you'll find smartphones in every corner of the world.

Hardware design and software design are two entirely different beasts. Wasn't it a risk for Apple giving Ive control of the Human Interface aspects of software at Apple?

Ive has stepped into Steve Jobs old role--the visionary that guides this very integrated company. And no, it's not a risk. In fact, it was a risk not to give one person this role.

That's what has happened at Microsoft and results in heavily silo'd products. It was happening at Apple too before iOS 7. The company was in danger of having the software division go to war with the hardware. Now it's under the guise of one person who can provide a single vision and unified direction.

I think iOS 7 is great. iOS used to be the opposite of the hardware. Where the hardware was stripped back and minimalist, the software was loaded up with all kinds of extra frills and decoration like fake leather and canvas. The skeuomorphism of iOS 6 was in contrast to the minimalism of the hardware.

It already makes iOS 6 look dated and old fashioned--even after just a couple of months. It's more consistent. It's designed like a physical object. It reacts to the real world--tilt it, and you get a parallax effect as if they are real objects sitting on different planes.

Everything is on clearly defined panes--the background, a middle ground and foreground. I like the way notification screens slide up in the foreground. It's very logical and easy to understand, because it mimics the real physical world, and not a bunch of different conflicting metaphors like card tables or old-fashioned paper schedulers.

Do you think iOS 7 is something Steve Jobs never laid eyes on?

Many of the elements must have in place before he died. He wouldn't have seen the final UI, but it looks very much like the earliest iOS mockups that were made when the iPhone was in development, back in the mid-2000s.

He would likely approve. Jobs was always for burning the boats, for making bold leaps forward and not looking back.

Just how much power does Ive have at Apple? Is he more important to Apple than Tim Cook?

Tim Cook plays the same role he did when Steve Jobs was alive. He runs the company day-to-day so that Jobs--and now Ive--can concentrate on developing new products.

Ive is the creative force, the one who leads a team that comes up with revolutionary products. I'm with Clive Grinyer: Ive is more important.

If Ive is more important, does that mean he is irreplaceable?

Just like Steve Jobs led a company full of great talent, Ive leads a studio full of great talent. But because of Apple's air-tight secrecy, it's not clear if any of Ive's lieutenants could fill his shoes. Designers Chris Stringer and Richard Howarth have reputations as great designers, but it's not clear if they are good design leaders as Jony Ive clearly is.

That said, Jobs was successful because he knew how to set up a system. The same system made the original Mac, then a string of hit movies at Pixar, and a string of hit products at Apple. It's based on small, integrated teams working closely together and having a lot of power to call the shots.

There's every indication that the same system is still in place, but it's an open question whether it would continue if Ive were to leave the company.

He himself has said that the same team of designers, transplanted to a different company, would not be able to function. The design team needs Apple's wider culture to support it. The entire company has to have a design-led mentality to makes it effective.

Jony Iveby Leander Kahney is out now in hardcover and on the Kindle from Amazon and also available on the iBookstore.

A Brief Manifesto For Misfit Entrepreneurs

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"Are you a real journalist?" asked the editor on the other end of the line. "Is this what you do?" It should have been a routine call in my role with the journalism nonprofit Student Reporter, but this woman had smelled my lack of experience in the industry and balked at our paid syndication proposal. "What's your background?" she pressed.

At that time, I was an Engineering and Business Strategy graduate research assistant at the University of Michigan, doing work in corporate sustainability strategy; my previous life before that being spent mostly in nanotechnology laboratories ("cleanrooms"), researching and developing technologies for biofuel applications. For her, journalism sounded like an "extracurricular" interest of mine. Is that such a bad thing?

Today, I work on Student Reporter professionally, and we're on track to incorporate as a business news outlet for young people, leveraging our global network of experimental newsrooms. I'm here because I am passionate about entrepreneurship and industry transformations--especially those that are disrupted by technology and driven by altruism--and because I want to take an entrepreneurial role in the transformation, something no job I had interviewed for seemed to offer.

What Good Is Fresh Thinking?

I am certainly not alone in making an entrepreneurial career move into a new field: more than half of entrepreneurs start businesses in industries other than those in which they had previously been working. This phenomenon has been studied and written about extensively, from academic literature, to passionate entrepreneurs' stories we see regularly on the New York Times bestsellers list.

As Noam Wasserman in his classic book Founder's Dilemma, there are certainly disadvantages to changing industries: inexperience, lack of human and social capital, difficulty in transferring mental models developed in one industry, just to name a few. He says grimly:

Many of those founders like to believe that ignorance of the industry in which they are founding is a benefit because it leaves an opening for fresh thinking. This can be true, but the advantages of ignorance are often easily outweighed by the disadvantages of inexperience.

It is admittedly difficult to ignore these glaring disadvantages, and while "fresh thinking" sounds great as an anecdote of success for specific problems, it hardly seems to justify such industry or career changes. However, the ability to apply different frameworks to challenges, and being able to connect dots in a new (and maybe more rational) way is an important advantage that gets lost easily--especially when entrepreneurs get caught up in trying to build a narrative to justify their industry change. After all, innovation oftentimes happens at the fringes of academic disciplines and mainstream thinking.

An Entrepreneur's Scientific Method

How can a background in engineering, sciences and research can benefit an entrepreneur? One major boon is the scientific method. One of the most common advices that investors, mentors and more experienced entrepreneurs give to young entrepreneurs is customer or market validation: "test your product before you develop the entire thing", then "don't be afraid to pivot."

This is the classic scientific method.

  1. Ask a question
  2. Do background research
  3. Form a hypothesis
  4. Test the hypothesis
  5. Analyze data
  6. Draw conclusions

Any scientific researcher can relate that oftentimes steps 3)~5) are reiterated over and over. Much of the time is spent in either the experimental laboratory or analyzing data, tinkering with different conditions and variables. By the time something works, we are often left incredulous, thinking, 'something must not be right,' because we are so used to our hypothesis being proven wrong."

In a way, entrepreneurship should be like this--a constant tinkering and testing of ideas. Entrepreneurs are constantly told not to develop the full product before testing the market, that much of our time should be spent tinkering and testing. For example, in a cleanroom laboratory (where nanoscale and microscale materials and devices are fabricated) a researcher would never batch process their substrates before making sure that all specific conditions were developed to create the prototype desired.

So what's different? For scientist-cum-entrepreneurs, it's easy to see the dots to connect. (We even share buzzwords--disruptive innovation, anyone?) While both scientific researchers and entrepreneurs are passionate problem-solvers, entrepreneurs have a huge uncertainty in distribution, or how you go to market and find customers. Your product can be perfect, but if you don't have customers to pay for it, your company is not a business, but just a product developer or manufacturer.

Emergence Of The Misfit

Industry changes among entrepreneurs have been common for the some time. However, there is an emergence of the concept of misfit that notes a cultural and generational trend towards exploring other industries to pursue entrepreneurial opportunities.

The most prominent example of the misfit, is the forthcoming book Misfit Economy by Alexa Clay and Kyra Philips. Through the use of archetypes, they introduce "diverse innovators operating in the black, gray, and informal economies are developing solutions to a myriad of challenges." A similar focus on "on-the-fringe" innovation and unconventional thinking is also distinct character of the author and entrepreneur Peter Sim's newest venture BLK SHP Enterprises. In academic institutions, the MIT Media Lab comes to mind, where the director Joi Ito once told me, "we look for antidisciplinary students. If you don't belong in a disciplinary, you belong here."

While the institutional push for the concept of a misfit individual is helpful to encourage young entrepreneurs and innovators, there also emerges a trend to brand oneself as a misfit. Coming from my experience with academia where switching disciplines was disadvantageous, it was refreshing and comfortable to be surrounded by young entrepreneurs that seemed to have made similar jumps, from industry to industry, from discipline to discipline. The trendiness of a misfit individual provides a comfortable place, a sort of safe haven, as we are constantly struggling with trying to be marketable with expertise and experience, and at the same time, be authentic with our backgrounds.

But in the end, it's what we do that matters, and the expertise and experience needed to do it. To be distracted or shamed by your misfit status would miss the point of being an entrepreneur--something to remember when someone asks, "so what do you do?"

Seven Smart Watch Alternatives To Samsung's Galaxy Gear

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In concept, a device providing a stream of notifications that doesn't demand the same attention as repeatedly pulling out your phone is a good one. The biggest question, however, is whether that device currently exists or we're still waiting for a better, slicker, version of the current concepts to arrive.

Instead of a screen as a blank canvas, the Cookoo watch takes the approach of adding phone notifications to a dumb watch. There are the obvious drawbacks of not having a dedicated screen, but there's also the huge benefit of not needing to charge your watch each night. The Cookoo runs on a standard watch battery and can get over a year of life before having to change it.

Martian Watches cost about the same as Samsung's Gear, but they aim for a higher end, premium look. For people who want their watches to look like, you know, watches, the Martian does all that while still providing notifications. Interestingly, Martian also wants users to be able to talk via the watch, somewhat diminishing the discreet look and feel.

The im Watch smartwatch really jumped on the rumors of Apple getting into the smartwatch game, even going as far as mimicking the interface to match the iPhone. If Apple had done a watch a year ago, it probably would have looked similar to this. Covering all the basics like notifications and camera triggering, the watch does also allows making and receiving phone calls. As the public gets familiar with the smart watch concept there will be a lot of Dick Tracy references, and the im Watch seems ready for the comparison.

Android users considering Samsung's Gear should also be giving Sony's Smartwatch 2 a look. For $199, the device is said to perform better than the Gear even though neither one has yet to fully capture the hearts and minds of consumers.

Part watch, part car accessory, this Nissan-made connected device capable of providing alerts and collecting other info. Once you get into the mindset of having a device that isn't your phone being used to connect, control, and notify you, a wristband that has intimate knowledge of your car isn't such a crazy idea after all.

Looking for something different? Scentee plugs into your phone's headphone jack and sprays a scent for each notification. Like the smell of bacon? You're really going to love it if you get into a heated texting conversation. Scentee also lights up if the aroma gets too thick.

Cubit is a hybrid notification device, ultimately a multi-purpose keychain attachment which provides information about missed call, texts, email, and more, but also acts like Tile, alerting you when keys or other valuables left behind.

Bonus: Probably the most influential trailblazer in the smart watch space, Pebble is already well known by anyone looking at smart watches. But with the recent addition of new software updates, the watch now receives more notifications on iOS and becomes even more useful.

Yes, Coders Can Be CEOs--If They Learn This One Skill

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Despite some high-profile examples, coders are often not considered to have much talent for, or even interest in, the business side of software. But the CEO of a major data platform says technical employees can transition to leadership--and in fact, they might even be well-suited for it.

For four years former developer Nick Halstead was the CEO of social data platform DataSift, where he learned that programmers were much better qualified for C-suite positions than he had originally thought.

"People talk about technical founders, but they don't talk about technical CEOs," says Halstead. "It's peoples' perception that technologists don't have the business savvy, but in an early stage company the technologist should be driving a lot of company decisions."

Here are five reasons why developers can make great CEOs, and a couple of things they must learn before they do.

Programmers Do Business

Doing business can mean anything from making a sale or setting up a partnership to managing logistics. "I like to apply a lot of logic to all of these business processes in the same what I would a programming task," says Halstead. "Programmers are very strong on strategy and execution because they have to plan so much." Areas like sales and marketing may seem like alien territory for the average developer but Halstead disagrees. "You must have empathy with the needs of the other party, whether that is in a business development deal, selling to a customer or marketing. Programmers can do this well because it's essentially quite a logical thing. You are looking at what is the problem they are trying to solve? How can they go about it and how can I actually solve that for them? As a programmer you spend your whole time solving other people's problems."

Programmers Do Spreadsheets

Spreadsheets are still the basic tool of business planning and programmers master them easily. "I must have made thousands of spreadsheets," said Halstead. "From the very first angel investor who expected a cash flow projection, no one is going to give you money unless you can show what staff you are going to take on, what equipment you will have to buy, what your rent is going to be. It was easy as a programmer to actually put together some very sensible looking numbers," he says.

Whether you are considering adding a new feature to the product or choosing a supplier, there's a new spreadsheet to be made for most business decisions. In an early stage company which does not yet have a finance team, it's the founder or CEO who will make those spreadsheets, giving the technical CEO a distinct advantage.

Programmers Do Caching And Naming

One of the biggest challenges in a growing business is effective information flow. "The cache is the thing that helps you optimize access to data," says Halstead. "The management team is the cache to the CEO. You are reading only the most pertinent bits of information without the micro-management of trying to access the database direct."

Caching also means defining what data should be reported on a daily, weekly or monthly basis. "DataSift has 50,000 metrics that are tracked literally every minute. Nobody is going to look at 50,000 metrics," says Halstead. To solve this problem DataSift determines the most important metrics and then places alerts on the others.

Naming means developing a common vocabulary for products, processes and concepts across the business. "All programming requires you to come up with a name for whatever feature and thousands of things need to be named at various levels," says Halstead. "For a CEO, it's crucial that the company has a clear idea about naming processes, products, everything. That's more challenging than you think as the company grows. Programmers are good at it because they literally do spend half of their time having to define what something is."

Programmers Know Debugging

Every developer had struggled with a seemingly intractable problem for days before the solution magically pops into his head. This process isn't just useful for code. "Debugging can be very very complicated," says Halstead. "You have got tens of thousands of lines of code. You are trying to find, say, a memory leak and all the tools you have used are not showing up where that leak is. You have done every kind of modeling. Then one morning, you wake up and the solution is sitting in your head. Don't think that ability should stop at programming. Companies go through those challenges from personnel to strategy choices."

Programmers Can Motivate Programmers

Halstead recently asked an audience of developers whether they would prefer to get a multi-monitor, high-speed development setup at work or receive the value of the equipment as a cash bonus. To a man, they choose the development setup. "Non-programmers think that like salespeople, programmers can be motivated by money," says Halstead. A programmer's salary must make him feel sufficiently valued but beyond that cash incentives don't tend to be very effective. "I have been in businesses with bonus schemes based on productivity. None of them ever worked. Your productivity was tracked by the number of features that you completed on the timeline that you gave your manager. So the programmers start to game it and say 'we can finish that in 12 weeks' as opposed to the six weeks that I know it's going to take."

A better alternative is to give developers the opportunity to solve big technical problems, to learn constantly and even to radically change roles in a way which doesn't fit in with the company's resourcing plan. Developers also recognize the value of other developers.

"Programmers tend to accumulate company knowledge more than any other role within a business, " says Halstead. "They become your Intellectual Property in a person. It is going to cost you three times their salary to replace them, in addition to the massive impact of that IP walking out of the building."

A CEO Must Listen

It's not all good news for the aspiring programmer-CEO. There are a few things he is going to have to learn and the first is how to listen, especially to non-developers. "A lot of very talented programmers tend to be arrogant bastards," says Halstead. "I know that I was incredibly arrogant as a young programmer, thinking you know everything. You seriously can't have that attitude as a manager."

However, listening is not the same as taking advice from everyone who offers it. "Your customers will always tell you all kinds of random stuff and so will all your employees. In the early days of this business, I had angel investors who were vehemently against us going down the line of Twitter. But it's an important lesson to know when someone has got a view that you should respect and take from."

A CEO Must Tell a Story

One thing every CEO must learn to do is tell a good story. It's essential for everything from getting investment to hiring. "If you are not prepared to learn to tell a story, then don't attempt to be the CEO," says Halstead who taught himself how to present the hard way. "I found an event in London called MiniBar. It was free drinks for the first hour and five companies got to pitch. To get a crowd of drunk people to listen to you, you were going have to make the story compelling, simple and maybe even entertaining."

After that Halstead took every opportunity, big and small, to present. "If you can't as CEO talk passionately about your product and your market segment for at least an hour without stopping then you shouldn't be doing it. To achieve that is practice. Anyone can do it."

These Simple Interactive News Maps Give Your Stories A Sense Of Place

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Interactive maps can draw people into complicated stories in an easy-to-understand way, making them great traffic-earners for media sites. But building those maps often involves working with arcane geographical software and writing lots of JavaScript, making Internet cartography too difficult and time-consuming for many journalists and online storytellers.

The founders of Vizzuality, the company behind the cloud-based mapping tool CartoDB, intend to democratize interactive maps so that overhead is a thing of the past.

"Anybody who knows how to use Excel should be able to build a map," said Vizzuality CEO and cofounder Javier de la Torre. "We want to provide the technology so that they can do it."

CartoDB makes it possible to create interactive maps just by uploading a spreadsheet with a column of addresses or other location information.

The software, which has been used by journalists at publications including The Wall Street Journal and The Guardian, as well as humanitarian groups responding to the recent typhoon in the Philippines, will automatically turn the locations into latitudes and longitudes and plot them on a map--a process called geocoding. CartoDB can also process other commonly used geographical data formats, like the shapefiles favored by many government agencies, or slurp in and sync live data from online sources like the National Weather Service.

Then, step-by-step wizards and built-in templates let users quickly customize what gets displayed, color-coding points or shapes based on other columns in the data and designing tooltips and pop-up windows. Users can switch between mapping individual points, like which cities the Rolling Stones visited on each of their tours over their 50-year history, and creating heat maps, like one de la Torre created clustering every known meteorite strike in Earth's history.

The maps live in the cloud, so users can easily share links to them online or embed them in articles on their own sites and let CartoDB handle the scaling issues if their maps go viral.

This month, Vizzuality also announced support for geo-temporal mapping, meaning animated maps that show changes in datasets over time. One example shows minute-by-minute traffic trends in cities around the world; another compares credit card transactions in Barcelona during the Mobile World Congress and in a typical week.

To make a temporal map, users can upload a spreadsheet or other dataset with at least a location column and a time column.

"This is something we're very excited about," de la Torre said. "It hasn't been possible to do these kinds of maps where it changes over time very easily."

CartoDB's built on open-source technology, meaning users can choose between building their maps on Vizzuality's servers--they offer a variety of hosting plans, including one that's free of charge--and downloading the code from GitHub and running the code from GitHub and running CartoDB on their own machines. That option is preferred by some organizations, such as banks, with sensitive data, de la Torre said.

Behind the scenes, CartoDB's servers use the open-source PostgreSQL database and its geographical plug-in package PostGIS to store data and the Mapnik toolkit to help generate the actual map images. On the client side, JavaScript libraries CartoDB.js and Torque, used for animated maps, make the maps actually show up in the web browser, using the HTML5 canvas element where it's available and basic images where it's not.

CartoDB's interactive wizards actually generate SQL database queries and stylesheets in the CartoCSS language used by Mapnik. Power users can tweak those or write their own SQL queries, stylesheets and JavaScript code to further customize their maps, joining data from multiple tables or drawing shapes around a given point, for instance.

"Users, particularly thinking about journalists, like a lot to use our software because they can do visualizations very quickly and very easily," de la Torre said. "They start learning about it and start doing more complex visualizations."

Soon, Vizzuality is planning to add support for more intricate animations using its Vecnik JavaScript library, which, on modern browsers with HTML5 support, handles more of the map rendering in the web browser rather than on the server, de la Torre said.

The company's also looking to add more flexible payment plans letting users pay variable fees based on the amount of bandwidth and other resources their maps consume each month, similar to Amazon Web Services' pricing plans.

"We want to simplify our pricing by just giving a more elastic model, where people just pay for what they use," de la Torre said.

Right now, pricing plans named for geographical pioneers like Ferdinand Magellan and London cholera-mapper John Snow allow for certain amounts of data, address translations, and page views each month.

"There's very exciting moments coming in the next year," de la Torre said. "A lot of interactions in a lot of new technologies."


This Sharing Service Puts Apple AirDrop To Shame

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So you've got a pretty large file on your phone that you want to send to the person sitting next to you. You ask if they have Dropbox. Nope, she's a Google Drive gal. Okay, you say, I can work with that--then the Wi-Fi cuts out. Your file is a long video and you'd rather not burn up any of your data plan, so you ask what phone she has--it's an Android. You're on iOS, and out of options. But you shouldn't be.

Coy Christmas and Luke Malpass ascribe to the classic hacker philosophy that argues that you should be in control of your tech, and use it as you wish. Their company, Fasetto, claims that they've found a way to work around the kind of scenario detailed above, to create a platform-agnostic file-sharing app for mobile phones. They call it PDQ: Pretty Darn Quick. Here's how it works.

According to the company's Kickstarter, the PDQ app uses any and all transport layers supported by the devices: Bluetooth, Wi-Fi Direct, NFC, or any other port/protocol your phone may have. This allows your device to send files to any other phone, regardless of platform or whether or not you're connected to a network or router.

On a technical level, it's pretty similar to how AirDrop works in iOS 7, along with comparable Android apps like SuperBeam, but options like those are limited in the platforms they can be used on, most often due to vendor/hardware restrictions. PDQ, though, bypasses all of that.

"We're doing something that's completely allowed and completely available--just nobody's done it yet," Christmas told VentureBeat.

Which begs the question of whether or not a vendor like Apple would allow an app like PDQ into its carefully cultivated ecosystem. There, as they say, lies the rub: Even if promising and useful software like PDQ can get funded and made, its usefulness and novelty can be severely hampered if a vendor does not wish to play ball.

Of course, that's nothing a little rooting and jailbreaking won't solve, but as software developers make better use of the hardware available to consumers, one would hope that it would become easier for users to stretch their legs and do crazy things like what PDQ offers. Because the smartphone equivalent of handing a package to a friend comes with an awful lot of caveats, and could stand being a little easier, don't you think?

Is Google Autosuggest Really This Misogynist?

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Remember search stories? With their first ad ever, aired during the 2010's Super Bowl XLIV, Google depicted a world where it has become a regular part of the human experience--simply through search. Now, an ad campaign by UN Women has shown search in an altogether different light--a black mirror through which our darker thoughts and prejudices are reflected through an autocomplete window. But is this actually a fair representation of people's searches?

"Parisian Love," the original Google ad, was remarkably resonant and ripe for parody. Google even created a tool for users to create their own--one that's since been taken offline since early this year. When parody Tumblr/Twitter Google Poetics launched in Fall of 2012, the idea of search suggestions had gone from an ad campaign gimmick to a full-blown meme.

However, what began as a sometimes funny, other times strange quirk about the idiosyncratic ways we all search the Internet, became something far more serious. Late last month the United Nations Entity for Gender Equality and the Empowerment of Women unveiled an ad campaign that uses the autocomplete suggestions to phrases like "Women shouldn't…." or "Women need to…" in order to "expose negative sentiments ranging from stereotyping as well as outright denial of women's rights."

It's a powerful, thought-provoking ad, one that brings into sharp focus a tool that we use every day while asking what that tool has to say about us. Over at the Guardian, writer Arwa Mahdawi argues that it isn't good:

Google has become something of the secular equivalent of a confessional box. Within the confines of a search bar you can ask questions or express opinions you would never admit to in public. Our most popular searches are, to some degree, an uncensored chronicle of what, as a society, we're thinking but not necessarily saying.

However, it matters how search algorithms actually work, and the autosuggestion results are a little more complicated than just acting as an "uncensored chronicle."

The first big autocomplete quirk is that no two people are guaranteed to have the same search suggestions. Your results, as Google states, depend on a number of factors: where you're located, whether or not you're signed in, your search/web history, et cetera. Those same policies state that Google will remove both hate speech and pornographic completions (you could search for them anyway, that's just to say that autocomplete won't help you). Also, don't forget about "freshness"--the priority autocomplete gives to recent popular searches that will arise based off of current events or trending topics.

In a post for Slate, David Auerbach breaks down the known quirks of Google's search algorithms while arguing that while worth noting, the story doesn't end with autocomplete suggestions, but what we actually search for, and the actual results that are displayed. "Of the top results that aren't about the UN Women ad campaign," Auerbach notes, "not one of them unequivocally promotes an anti-woman position."

So, are autocomplete algorithms really a barometer for public opinion? Writing a post which reports on sentiments like those from the UN Women ad campaign could actually feed into the "freshness" heuristic used by Google, making it more likely for those words to pop up in autocomplete--even if you don't agree.

Auerbach makes note of one important workaround: the "rel=nofollow" attribute for links, which makes sure search engines don't associate your site with a target link's rankings. Since, as Auerbach says, "Google does not distinguish an approving link from a disapproving link."

Everything Journalists Should Know About Scraping Data

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If you've ever dug through endless web search results, you have scraped, albeit manually. Web data scraping is tech slang for getting your hands on useful but unstructured information.

Computers can do a lot of this work for us, but those of us who are used to old-fashioned research--ahem, journalists--don't always realize how easy this can be, or how much time we can save.

Scraping is not the same as web indexing, which is how bots and web crawlers like Google match up search results to your query by looking at metadata. "Data scraping," by contrast, tries to replicate the human process of manually looking for information that is not as accessible--think research papers, where data is usually just plain text.

The Classic Scraping Feud

Scraping was born out of developers' need to interact with data from websites without an open API, or data interface. Since there was no easy way for them to extract information their apps needed, they wrote scraping software. (A great example of commercialization of a scraper can be found in the famous case of Craigslist versus Padmapper.)

Craigslist, to this day, chooses not to offer an API for developers, making it nearly impossible for outside apps to do cool things with their data. This left developers such as Padmapper with a duty to innovate software that took the good stuff from plain text and structured it for purpose. Padmapper used a software which scraped data from Craigslist and mapped out rentals based on zip code, number of rooms, and price. Pretty useful and way more user friendly than the Craiglist interface.

Craiglist sued Padmapper on grounds of infringement, claiming the copyrights on user data. But Craiglist only had the license to publicly share their user's data, nowhere near a copyright, and the case was lost. This is one of many situations which illustrate why developers have built scraping solutions for a lack of APIs.

It's not always so legally entangled, a lot of times scraping can be used for simple tasks like taking data on a table inside a PDF or searching for a new pair of cheap kicks. It's especially a skill worth learning if you regularly use information that comes from charts, or you're an investigative journalist, or are constantly looking at sources with periodic updates.

Some Basic Tools For Scraping Data

Last year, a close friend of mine set out to explain the impact online streaming had on traditional television viewership. He wanted to see if a cable network attracted more viewers or lost ad revenue when it made a show available online for free. He compiled a massive amount of data by using the Wayback Machine and looking at when these channels first started putting shows online (ABC was the pioneer in 2006 with shows like Lost and Desperate Housewives). My friend also used an endless amount of numbers and table with statistics on viewers from Nielsen reports and sites like Wikipedia.

The only problem was the websites he used didn't allow him to copy and paste a table into STATS (the software he used for analytics). He would end up with 15 cells on Excel for a table with 300 cells online. He tried screenshots and text conversion but it was a mess. By the end of it, he decided it was easier to manually type in thousands of numbers for his database. At one point, he considered outsourcing it, but he realized it'd be a lot of money. The point is: Even basic research like his can be discouraged by little formatting issues. However, most of this process--getting the data into the right format so he could manipulate it-- could have easily been automated. For free.

A Scraping Tutorial For Non-Technical People

The first way to go about getting data from a table online into nice rows and columns in an Excel or CSV document is with Google Spreadsheets. Many people don't know this, but Spreadsheets is actually pre-packaged with a command for importing data from HTML. If you open up a blank document, and you pick a cell and type in "=ImportHTML(url, query, index)" and you provide those inputs, Spreadsheets imports the information and formats those rows and columns exactly like the online equivalent.

Here's an example I did for AMC's The Killing (the best show on television right now!) that just got renewed for a fourth season by Netflix. I simply created a new Spreadsheets file on my Google Drive and I typed in:

"=ImportHtml("http://en.wikipedia.org/wiki/The_Killing_(U.S._TV_series)", "table", 4),"

And before I knew it, I had a nice table ready begging me to extrapolate:



If the table is interactive Google Spreadsheets sometimes gives a PARSE ERROR, ConvExtra is a workaround. This website simply takes a URL and with a simple search-like click, extracts up to a thousand pages of it for free. It gives different fields for each section and allows you to download it in different formats.

Whatever your use may be, understanding a scraper is easiest when it's broken down into three components. The first is a simple queue of pages that contain the data you need somewhere in them, the second is storage for the data, and the third is a downloader and a parser that structures the information.

For any Google Doc enthusiasts like myself, ImportHTML is a pretty nifty way to reinforce your love for the enterprise but there are also sites like ScraperWiki that aid you in writing code to scrape multiple sites, which is often a little more time consuming and complicated but way more powerful. Here is a package specifically geared for journalists.

New Wolfram Language Brings The Power Of Mathematica To Any Device

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Wolfram Research's flagship program Mathematica has run on full-power desktops at science and engineering labs for 25 years. Now it's possible to run Mathematica for free on a Raspberry Pi, the credit-card-sized PC that retails for as little as $25--a sort of pilot for a new Wolfram programming language that will be able to run on cheap devices or in the cloud.

"I think in its class--symbolic computation program--I think it's the best thing that's available," Raspberry Pi cofounder Eben Upton says of Mathematica. "It felt like the right one for the platform."

The Raspberry Pi launch is part of Wolfram Research's efforts to make its new Wolfram Language--a programming language that expands on Mathematica's existing command line interface--available across a wide range of devices, from low-powered embedded computers to cloud-based servers to parallel computing clusters.

The Pi is the first device to support the new language, which aims to provide a uniform, cross-platform interface to Mathematica's core equation-solving and number-crunching functionality and to Wolfram Alpha. Wolfram Alpha is Wolfram Research's online "computational knowledge engine," sort of a cross between a high-powered graphing calculator and an almanac of facts about the world, from physical constants to baseball scores, all of which will be accessible via Wolfram Language. Wolfram Research founder Stephen Wolfram wrote in a blog post about the launch:

We've got a language that's not mostly concerned with the details of computers, but is instead about being able to understand and create things on the basis of huge amounts of built-in computational ability and knowledge.

Mathematica and Wolfram Language for the Pi were launched Thursday at the Computer-Based Math Education Summit at UNICEF's New York headquarters. The summit was organized by computerbasedmath.org, an organization founded by Wolfram Research executive Conrad Wolfram, the brother of Stephen Wolfram, to encourage the use of computers to teach math. With computers to help with calculations, teachers can be more focused on problem solving and less on mechanically applying formulas, the organization says.

"These are people who are really committed to this idea of trying to reform math education," Upton says.

With the Wolfram tools available on the Pi, Upton said it will be possible to give an entire class the tools needed to practice computer-based math for less than $1,000. The Pi was created as a simple and inexpensive device to teach computer science and engineering and has become a favorite of the maker community, running everything from automated dog feeders to full-fledged web servers.

The full graphical interface to Mathematica, with support for plotting equations and visualizing images and audio, can be "a trifle sluggish by modern standards" on the Pi, but the command-line interface to Wolfram Language is "quite zippy," Stephen Wolfram wrote in his blog post. Some Mathematica features, like predictive input, are disabled by default in the interests of speed, he wrote.

"But it's still spectacular: the first time Mathematica has been able to run at all on anything like a $25 computer," he wrote.

Wolfram Research is also working on a "course authoring platform" that will let instructors run cloud-based online courses where students can run demonstrations and do homework using Wolfram Language, according to an earlier blog post from Stephen Wolfram.

During the announcement, Conrad Wolfram demonstrated a Raspberry Pi-powered robot programmed in Wolfram Language to search for and move toward blue objects, using the Pi's camera and the language's information-processing routines. The language features a standardized, cross-platform interface to access connected devices, including the Pi's camera and other peripherals, Stephen Wolfram wrote.

Beyond that, it provides a library of more than 5,000 built-in functions, many of them quite high-level, ranging from matrix operations and calculus to face recognition, HTML parsing, and even tweeting, as Stephen Wolfram demonstrated on his own Twitter account.

Since the built-in functions operate at such a high level, the demonstration robot's program consisted of only about 10 lines of code, Upton said.

"It's very tight, and very comprehensive," Upton says of the language, which also provides typical programming features like constructs for imperative and functional programming and an interactive debugger.

Other functions pull information directly from Wolfram Alpha's databases. That information could be anything from hurricane statistics to the molecular structure of common chemicals to facts about cat and dog breeds. (The Abyssianian cat is "loyal" but "agenda-driven," and it typically weighs between 7.4 and 16 pounds, for instance.)

And, the language will soon contain built-in support for executing Wolfram Language code in the Wolfram cloud, and similar functions will allow executing programs in a private cloud or deploying them to a desktop computer or embedded device, according to Stephen Wolfram's blog.

Wolfram also plans to build a cloud-based publishing platform for documents containing embedded interactive components written in Wolfram Language. A planned data science platform would be able to automatically pull in information from other sources, run computations, and publish reports to the document platform, according to the blog.

Having a unified language across platforms should make Mathematica more versatile as well, Stephen Wolfram wrote.

"There'll be Mathematica Online, in which a whole Mathematica session runs on the cloud through a web browser," he wrote. "And on the desktop, there'll be seamless integration with the Wolfram Cloud, letting one have things like persistent symbolic storage, and instant large-scale parallelism."

And Wolfram Research intends to contribute tutorials to Raspberry Pi's official blog, Upton said, demonstrating what can be done with the new tools. The Raspberry Pi Foundation plans to focus on building tools for teaching computing in 2014 and expand further into other areas that can be taught with the devices, including computer-based math, in the following year, he said.

"I think it's inevitable that that would be a Mathematica-based and Wolfram Language-based thing," Wolfram says. "The intention is to keep Mathematica on the Pi. This isn't a one-shot deal."

Let's All Grab Our iPads And Move To Iceland

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When the NSA's PRISM surveillance program made headlines worldwide, the general public suddenly became very interested in their digital privacy. Are digital havens the answer? Should we all move to Iceland?

In June of 2010, the Icelandic Parliament passed the Icelandic Modern Media Initiative, a resolution that would bring widespread reform designed to protect freedom of expression in the current digital climate. Iceland is home to the International Modern Media Institute, the advocacy group that helped draft Iceland's Modern Media Initiative, and seems to be the ideal country for such a data haven--where legislature and infrastructure combine to offer protection from surveillance like the NSA's. Smari McCarthy, the executive director of the IMMI, certainly thinks so.

Speaking to Dell's TechPageOne, McCarthy has coupled his legislative efforts with advocacy for increased encryption. Kyle Chayka writes:

McCarthy hopes to "raise the average cost of surveillance" by creating roadblocks for blanket operations like the NSA and PRISM. By helping users employ encryption to make their data harder to decode and forcing groups like the NSA to spend more on data tracking resources, McCarthy wants to make global blanket surveillance so expensive that it will be impossible.

He's not alone in his approach. The San Francisco-based Electronic Frontier Foundation (EFF) has both compiled the most extensive archive of documents detailing the NSA's surveillance practices and taken legal action against the NSA for non-PRISM related surveillance of citizens. The Foundation actively maintains an updated list of major Internet companies like Apple and Google and the status of their data protection measures compared to their "best practices" criteria.

Unfortunately, a company can follow sound encryption protocol and have it all be for naught. Such was the case for Lavabit, the secure email provider that had Edward Snowden listed as one of its members--which led the U.S. government to demand access to Lavabit's private SSL keys. This would have effectively given the government complete access to the private information of all of Lavabit's customers, just to get at one. Lavabit founder Ladar Levison decided to give the government the keys, and then immediately shut his service down.

Cases like Lavabit's make the idea of a data haven even more appealing, but there are problems with having that haven be an actual country. Political ones, to be exact.

But what of solutions independent of a country? After all, no one owns the Internet. Is the recently resurrected, independent data haven HavenCo part of a new wave of mercenary privacy protectors, offering a full suite of privacy protection services in order to protect users from increasingly intrusive governments? Granted, HavenCo isn't a perfect example--allegedly based in the self-declared (and unrecognized) principality of Sealand, it's hard to put much stock in what kind of protection could be afforded when push comes to shove.

So the problem remains: There is a demand for privacy online and a failure on behalf of our government to provide or respect it. While the legal battles rage, the alternatives that are hacked and cobbled together may very well be a key part of how we're connected in the future.

Can Architects And Engineers Work Without Models?

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Three-D modeling revolutionized the engineering world, allowing designers to view digital mockups of their vehicles (wheeled, waterborne, or aerodynamic) from any angle instead of a handful of perspective drawings--but engineers still need to create scaled-down prototypes to test for wind, friction, and other real-world conditions--a pricey process. But what if you didn't need models at all? Researchers at the University of Bristol are boldly claiming that their new algorithmic technique will do away with physical prototypes entirely.

This is critical not just for the expense--wind tunnels and other specialized environmental replicators are few and far between--but for the access this will give to smaller businesses and citizen engineers. Forget human-carrying vehicles: Chopping down prototype and testing costs will make engineering any kind of product more affordable, from new quadcopters to impact-resistant Internet-connected gadgets.

CAD/CAM 3D modeling has been around for around 20 years, but it's been limited to linear modeling: If I've got a ruler hanging over the edge of a desk, I can measure the stress when I bend it in different directions. What I can't measure are "impact" and other nonlinear tests, like how a model of landing gear deals with the impact of hitting the runway (and whether its structure will handle thousands of "cycles" of impacts in the landing gear's lifetime).

I have it on good authority (that is, my father, an aerodynamicist with 30 years of experience for McDonnell Douglas and Boeing) that prototypes will always be a necessary step in the process. Which is obviously necessary when working on clandestine high-profile government projects like this, but funders at any level require the assurance of tried 'n true methods before they greenlight production.

What these new algorithms will do is allow anyone to digitally test the hell out of their design before creating a (hopefully) single prototype to confirm the digital model's predictions. Again, this is big, even if you don't need to create a massive vehicle: Impact and nonlinear tests on startup-friendly devices will slash costs down to simple man-hours on computers. Power to the deskhounds and garage tinkerers!

Marketing iOS Apps Just Got A Lot Harder

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Apple's App Store allowed its first ever video in an app listing with the release of a new game titled Clumsy Ninja. While this is a feature app developers have spent years clamoring for to show how the heck their apps actually work, this isn't the liberation that app developers hope it to be--and might end up further entrenching the backdoor politics and favoritism that characterizes Apple's walled garden.

For starters, the video only appears on Clumsy Ninja's "Featured" page--not the app's native page where Search and Category browsing will lead visitors. Obviously, Apple could (and likely will) roll out video embedding within the native app pages, but as it stands, Featured apps now have yet another edge on the non-Featured masses.

Know that, yes, there are ways to game the App Store: As The Next Web puts it, you have to Think Like Apple. Thus, if you want a piece of the Featured pie (an astronomical increase in downloads, even for lesser-viewed "Featured" pages like New and Noteworthy), you don't think about how your users would benefit--but how Apple's editor circle thinks users would benefit. Regardless of their criteria, the clumsiness of navigating around the App Store means many don't get beyond the Featured screen or, at best, the first page (25 apps) when browsing a category.

But if the public were to see videos (even for only a minute, which is Clumsy Ninja's video runtime), they'd get the concept--and app-demonstrating videos have been uploaded to YouTube for years. Some apps can be summed up in a pitch line, so a video's only a pleasant demonstration (like Voxer, which lets you walkie-talkie friends). Other apps--even well-known apps--will benefit enormously. For example: Let's say I've got an app that lets you categorize a bunch of notes, attach them to calendar events, and synch with all your other docs and events via the Cloud. That's a pitch, but even with the app store's paltry five-photo slideshow, you still don't really have an idea how Evernote works. Behold the magic of demonstrative videos:

It doesn't really matter if you've poured money into a slick video or have clamped a camera over your app while you demonstrate it: If the app works, it works, and production value won't increase downloads. What will increase downloads is whether Apple will let any and every app embed video on their page. While it won't level the playing field--the clumsy app store interface and erratic app search will still outrageously impede users' ability to easily compare apps--demonstrating how cool, current, and easy-to-use your app is will change how apps are chosen.


How The NBA's Big Data Strategy Will Change The Way You Watch Basketball

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Overwhelmed by fluid, fast-paced play, basketball fans have long thirsted for more: more statistics, more video replays, more analysis, more information. Now the NBA has partnered with SAP and STATS LLC to create a new, totally comprehensive statistical database that records everything that happens in every NBA game. And it's free for fans all over the world at NBA.com/STATS on Monday, November 25.

The first step for the NBA was to augment human scorers with a six-camera setup that automates the recording of player data on the court. But there was a bigger problem: mashing up all that data in one instantly accessible platform for fans.

So why would the NBA go to such lengths to provide such a versatile and comprehensive database? "We're marrying video and stats," says Michael Gliedman, senior vice president and chief information officer for the NBA. "They each tell one story, but they complement each other."

How The Video Box Score Works

This year, the NBA entered into a comprehensive partnership this season with STATS, the company responsible for Sports VU. Six cameras track players' every move by way of a specific set of data points including, but not limited to players' names, numbers, and the ball. The league records these statistics and stores them in three data centers, one for in-game tracking, one for historical data, and one for video. The data has been available now for almost a year. In partnership with SAP, however, the NBA hopes to put this information to better use for teams and fans alike.

"We're using video to contextualize statistics, to tell better and better stories, which is what our fans want. So we asked ourselves, 'How do we take what we made for the media and scale it in such a way to allow people to ask questions and have them answered immediately?'" says Gliedman.

The answer? HANA and the "Video Box Score."

SAP developed their HANA real-time platform, an in-memory computing platform with a caching layer able to combine and process and display statistics with corresponding video at incredible speeds. With it, fans can compile any and all manner of statistics and videos of their favorite teams and players and cross-reference that data against any available measure--opposing teams/players, for instance.

Even more astounding? Each measure of every game will be available--for free--within an hour of the final buzzer. They load almost instantly, with HANA sifting through quadrillions of combinations of stats to slice and dice the data exactly how a fan wants to see it.

The NBA Is Taking Control Of Its Own Statistical Revolution

Decidedly more digital friendly than the competition, the NBA has long emphasized keeping its sport on the cutting edge. The league does not post takedown notices on YouTube, for instance, and has fostered an entire community of tech-savvy basketball fans in too many ways to count. But to date, most fans rely on pre-edited highlight reels, SportsCenter and the like, to distribute content.

Now, however, the NBA is leading the charge. From launch, pre-roll ads will accompany videos monetizing the service right off the bat. Seemingly endless content will stream directly to fans' and coaches' computers alike, revolutionizing the way the game is understood.

Gone are the days of hoping ESPN shows the plays you want to see. Now, fans can watch every single alley-oop thrown to Blake Griffin during the Clippers' 2012-2013 campaign, whenever they want. He had 52 of them, by the way. Lob City, indeed!

And it's a fantasy owner's wildest, well . . . fantasy.

The Next Generation Hoop Highlight Reel

Previously, the league charged one person with statistical computation at the scorer's table, and another in the booth for video and correctional purposes. Now, with the aide of Sports VU cameras in every arena, fans will have access to video box scores for every team, player, and game, team and player pages, shooting charts, top lineup combinations, and contextualized and customizable play-by-play video of every play of every game, not to mention new stats:

  • Speed and Distance: distance traveled*, average speed*
  • Possession: touches*, points per touch*
  • Passing: assists, secondary assists*, passes leading to free throws*
  • Defense: blocks, steals, defending the basket* (opp field goal stats with player within 5 feet of the basket and the shooter)
  • Rebounding (REB): REB, REB chances* (player within 3.5 feet of a loose REB), REB percentage*
  • Drives: Defined as, "any touch that starts at least 20 feet of the hoop and is dribbled within 10 feet of the hoop, excluding fast breaks," including PPG on Drives*, Total PTS on Drives*.
  • Catch and Shoot (CAS): Defined as, "any jump shot outside of 10 feet where a player possessed the ball for 2 seconds or less and took no dribbles," including CAS PPG*, CAS 3FG per game*, Total CAS PTS*.
  • Pull Up Shots (PUS): Defined as, "any jump shot outside 10 feet where a player took 1 or more dribbles before shooting," including PUS PPG*, PUS 3FG per game*, Total PUS PTS*.
*Denotes statistics not previously available to fans.

In addition to NBA.com/STATS, the NBA gametime app and NBA TV will all utilize the new technology to boost the fan experience.

What's Next For the NBA?

At launch, the service will be available to anyone at NBA.com/STATS, but only for desktop platforms. Gliedman indicated mobile is the league's priority, but they've yet to figure out a way to provide such vast video content effectively through mobile devices. After all, the sample set is enormous.

"We have a very wide database with a lot of permutations, 4 ½ quadrillion," says Gliedman. "We wanted to scale so that we could get 15,000 people running queries against it simultaneously. We're scaled scaled for 250 queries per second, and 15-20,000 users at the same time."

When A Million-Dollar Art Piece Won't "Run"

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Though we're well into the 21st century, it's only been in the last few years that digital art has moved into the mainstream--things like David Hockney's iPad art exhibition, or the GIF which recently sold for $1,300.

But while these latest digital artworks are all the rage, their predecessors--the first digital works from the '60s, '70s, and '80s--are dying. They're dying because the antiquated hardware used to interpret the essence of the artwork--its code--is breaking down from old age and obsolescence. Once that happens, the artwork is gone forever.

Determined to reverse the degradation, one man and his team of digital art conservators are working hard to prolong the inevitable and trying to ensure that the greatest masterpieces of digital art don't disappear like so many Snapchat pics.

A Cultural Memory Preserved In Code

"Texts, images, films, music, works of art, documents of all kinds--indeed, virtually all variants of human expression--are today generated and stored in binary code; a code that can no longer be read directly by the human senses, but only by machines which then render it in a form that is comprehensible to people."

That's what Dr. Bernhard Serexhe, chief curator and head of collections at the ZKM Media Museum in Karlsruhe, Germany tells me when I sit down with him to discuss the upcoming publication of digital art conservation, the results of his three-year research project for strategies on conserving artworks created with computer programming and digital technologies.

The texts, images, films, music, and documents Serexhe mentions can, of course, be summed up in a single phrase: humanity's cultural record. As Serexhe notes, it's a cultural memory which has radically changed recorded form in the last several decades, going from the analog clay tablets, papers, canvases, and chemically processed photographs, to the digital form that is now the backbone of everything from our entertainment to defense to commerce industries.

The move to a digital cultural memory in itself is not a bad thing. After all, information and knowledge spread easier and faster because of digital technology. But while digital technologies are a boon for consuming, analyzing, and sharing copies of aspects of our cultural memory, it presents a problem for the art world where it is the original creation that matters.

Once that medium that the digital art lives on can no longer be powered on or its code can be no longer read because of outdated technology, we lose a piece of our cultural memory forever. And that's happening, right now. "There are uncountable digital art works being lost every year due to the obsolescence of hardware and software," Serexhe says.

The Mona Lisa Doesn't Have To Worry About This Stuff

Given no physical damage comes to it--no fires, or floods, or collapsed ceilings--the Mona Lisa could survive for hundreds of more years in the Louvre without much intervention from human hands. Its paint may fade a little, but it can always be restored. And with constant, active care, the original Mona Lisa, in all its analog glory, will last for thousands of years more.

But while the Mona Lisa will have a life-span any human being would be envious of, the same cannot be said for digital artworks, which typically have a life-span less than that of your average house cat.

"The error that the digital is eternal persists until today," Serexhe says. We assume that whatever we put in the cloud stays there. But if digital art has existed since the 1960s--when German artists began using massive mainframe computers to translate algorithms into computer graphics drawn by the Graphomat ZUSE 64, an early digital printing machine--then why has no one focused on the unique complexities of digital conservation?

"The general overestimation in the 1990s of how durable digital technologies are together with the simultaneous rapid progress of technical obsolescence has resulted in a massive backlog of badly conserved digital artworks, and works that have not been conserved at all," he explains.

"Often it is only when the works are to be presented again that data loss and incompatibility with current hardware and software are discovered."

In other words, the conservation of digital art is only now becoming a big focus because museums are pulling this stuff out of their storerooms for exhibitions, turning them on, and then realizing a million-dollar piece of art can't "run" anymore.

This is not something that would have ever happened if they had pulled an old oil on canvas out of storage. The irony of digital art's technologically superior medium lasting a fraction of the time (often less than a decade) of its analog fragile-clay-pots and oil-on-canvas cousins is something frequently mentioned in traditional art conservation circles.

But Serexhe argues such a viewpoint is a fallacy. "It is not the digital artworks themselves that age more rapidly, as is often maintained, because their real substance lies in the digital code, which cannot age."

Apple Doesn't Care About Art

"The problems of digital art conservation stem from the hardware and software required for maintenance and presentation, the operating systems and specific applications, and the requisite knowledge of the programs, which are no longer available after a few years," Serexhe says. "What this means for digital media art is that the faster the technical developments, the shorter the work's half-life."

The transience of technology means systems that were the latest and greatest just a few short years ago quickly become technologically obsolete, leading to a "systems-eminent" threat to art that was created on these platforms.

And it's not something that is only affecting programing languages and systems that are decades old, Serexhe tells me. "The explanation for no longer being able to start certain artworks is as banal as it is shocking. Let me give an example from the Apple world: With the introduction of Mac OS X 10.4 Tiger that ran on Apple computers with Intel processors, Apple no longer guaranteed downward compatibility with programs requiring the so-called 'Classic Environment,' which included the widely used software Adobe Director."

The result of Apple's abandonment of the Classic Environment meant a number of digital works of art written in Director on PowerPC Macs will eventually not be able to run any longer because someday no machines will exist that are capable of running and interpreting that PowerPC code for human eyes.

Serexhe argues that hardware and software companies like Apple generally do not care about the preservation of cultural heritage. This is due to the market the companies operate in: an economic system, upon the interests of which cultural developments are substantially dependent, that does not mediate between the interests of the different social actors but rather in accordance with the principle of consumerism, which constitutes the basis of our society and propels both producers and consumers into an increasingly virulent vortex of consuming and replacing.

If The Hardware Is The Flesh, The Code Is The Soul

When a museum realizes a piece of digital art they have no longer works, they usually turn to Dr. Serexhe and his team, who are made up of hardware and software engineers and whose conservation work can best be likened to a mix of clever coding and searching for scraps.

For digital works that require specific hardware that stopped production decades ago, Serexhe's hardware engineering team literally scours eBay looking for old, usually broken, units to buy and repair, which they then use to swap out with the original machine the artist used. However, finding and repairing old computers from eBay is only a half measure when it comes to digital art conservation--as exampled by Serexhe's team's work to save The Legible City.

The Legible City (1989/91) by Jeffrey Shaw is widely considered to be one of the most important works of digital art. It's made up of a stationary bicycle, which the viewer rides. The bicycle is connected to an analog-to-digital converter, which is in turn connected to a Silicon Graphics Indigo2 (IRIX) computer that processes code the artist wrote. The code turns the digital signal from the bicycle into giant 3-D letters that form words that are projected onto a screen as you cycle through various cities.

In order to save this work of art from virtual death, Serexhe's hardware engineering team worked for over a year to reconstruct the broken analog-to-digital converter and then swapped out the original Silicon Graphics Indigo2 (IRIX) with an identical one they had found on eBay and loaded the artist's code--which can only be read on a Silicon Graphics workstation--onto it.

But as Serexhe points out, simply relying on swapping old broken hardware with old restored hardware isn't a permanent solution. After all, one day-- Serexhe says within 10 years--all the Silicon Graphics workstations left in the world will become completely irreparable due to component obsolescence. What, then, will the the artwork's code run on?

This is the crux of what makes digital art conservation so hard. If the hardware components of a digital work of art are its flesh, the code is its soul. When the hardware can no longer be repaired or replaced, the essence of the artwork, the thing that gives it life--its binary code--has nothing to run on that can understand it and render it in a form that is comprehensible to humans. It is at that point in which digital art dies.

Conservationists Of The Future Will Be Coders

The single best option for The Legibile City's code to live on after all Silicon Graphics workstations are gone is to port it to a new operating system capable of running on modern-day computers. But unlike porting an app, for example, Microsoft Word from Windows to the Mac, where altering--or completely rewriting--large chunks of code is perfectly reasonable, for digital artwork the trick is in maintaining as much of the original code as possible.

To do this requires coders with not only the most advanced modern-day programming language skills, but also with a deep knowledge of coding in obsolete programming languages, and the ability to see the aesthetic in code. That why Serexhe turned to Bernd Lintermann, an artist and computer scientist who also created xfrog, a procedural modeling and animation software that is used by companies ranging from Electronic Arts to Lucas Digital.

"Bernd is one of the most experienced programmers in the art world," Serexhe says. "When you look at the aesthetic and functional complexity of the code in the The Legible City, no 'normal' coder or software engineer would have been able to do this work."

Though it took almost a year, Lintermann was able to port the original code over Linux--but it was a painstaking process. "The porting was carried out in small steps, which facilitated a comparison of the new software modifications with the original code in each step of the work, thus minimizing differences," Serexhe says.

"Given the concurrence of the processes, the dynamic behavior cannot be identically illustrated, but was approximated to the original behavior. Now the work can run perfectly on any normal on-the-shelf computer."

What Serexhe, Lintermann, and the rest of the ZKM team managed to do besides saving an important piece of digital art is show that in the future programmers will have a dual-role to play in society. They will not, as in years past, simply be coding to advance technological progress, they'll be coding to preserve something just as vital.

The methods, proceedings and results of this three-year research project are published in:Preservation of Digital Art: Theory and Practice, edited by Bernhard Serexhe, AMBRA Vienna, 2013. You can find more information on the project's website here.

This Former Apple Product Manager Wants To Fix Your Swing

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With regulators cracking down on performance-enhancing supplements, athletes are turning increasingly toward "quantified self" devices to give themselves an edge over the competition.

But most of these devices--the Nike FuelBand, Fitbit or countless iPhone apps--are built for runners or cyclists, whose bodies are in motion during play. Baseball, tennis, and golf players need something that measures the motion of their bat or club, not their own bodies.

A company called Zepp, headed by Jason Fass, a former product manager at Apple who oversaw the MacBook line, has built a small sensor about the size of a Starburst doesn't just solve the problem, it opens up an entire new world of performance metrics to people at all levels of sport.

Bringing Sports Metrics Home

In professional sports, metrics are everything. Aside from rare "intangibles guys," only quantifiable statistical measures count. After all, production is why they pay pros the big bucks. To date though, technology has not caught up to front office data analysis.

"The Giants--and I only use the Giants because they're in our backyard--have this amazing video system where there's cameras in the dugout, the outfield, home plate, and even a camera above when they're in the cage, but even Buster Posey has to leave the field, go into the clubhouse and approach the video booth like, 'hey can you show me that at-bat? I gotta see that swing.' Now? They can see immediately, '67 miles per hour? Speed it up!'," Fass says.

How The Zepp Sensor Works

At the very top of their software stack, Zepp placed what they call their pattern recognition layer, or the "sport specific layer." The app then looks for general motion patterns that have specific backswing and forewing components. In fact, the baseball and tennis apps require impact to identify a swing. "If you're wearing the sensor and you wave to your buddies, it's not going to register," Fass says.

Because they're dealing with high-speed sports, the algorithms change based on what game the user is playing. In tennis, as Fass explains, "The algorithms are actually designed to recognize what a forehand is, what a backhand is, and track the face of the racquet on impact to determine spin."

The technology can be used for live game or match tracking, too. It captures everything. The sensor puts out 1,000 data points a second, a daunting amount of information for the average athlete to process.

"The trick is what data we're actually gonna listen to, process, capture and show the user. Really, we're trying to keep the technology out of the way and give people only the data that's useful," Fass says.

Game Changer: What The Zepp Sensor Means

And while more features will be applicable to little league and high school players at the outset, Zepp discovered one feature of particular interest to pros conducting batting practice with San Francisco Giants minor leaguers: bat speed.

"Pros know what feels right," says Fass, "and Zepp's program allows hitters to star swings that feel good and look at them later. One of the biggest things for pros is time in the strike zone and time to zone. They might be swinging 90mph and that time in the zone might be .027 sec, but the percentage of time they spend in the zone during their swing is really important."

How Zepp Made The Hardware

Developed by a team of engineers who worked on international space programs, Zepp's "rocket scientists" used video, high-speed cameras, and physical examples of players at varying levels to establish ground truth. Unlike your iPhone, the Zepp sensor has two accelerometers--one for high speed and one for low speed. "If Nike tried to do the same thing with FuelBand, a single accelerometer and nothing else," says Fass, they'd be using "a 2-D solution to a 3-D problem."

The company's first product, GolfSense, was quite similar to their new product, only golf-specific. Moving forward, the company wanted to broaden their appeal, so they added baseball and tennis. But they only made one sensor. The only way in which the new technology differs sport to sport is the sport-specific mounts (available separately) and apps (free). On top of that, the Zepp team designed everything from sensor to charger to packaging.

Performance Enhancer: The Zepp Sensor Makes You Better

"People assume, 'oh that's not legal,' but you're not altering your bat--you can put things on your bat that force you to choke up," says Fass. "In the PGA, it's not illegal unless you were to look at the data during your round. In tennis, I don't believe there's any rule prohibiting use."

But even if Zepp's apps aren't "legal" for professionals in-game, the tool still has undeniable value to players of all ages and experience levels. The social media aspect alone could reshape the way coaches and scouts understand statistics, not just by providing new measures, but also by measuring everything.

"People can set up groups and compare numbers and stats, little league teams can track stats, and such. Social content will change based on our audience, which is where we see tremendous potential for this data, whether you're a coach, a nutritionist, a scout, you're getting access to all this data and that is really cool," Fass says.

Where Zepp Is Headed

And people are itching for the solution. Users are adding 500,000 swings a month to the database, and not just the swings themselves. They're also adding their age, height, clubs, bats, their clubs' specs. And all of the data is available for users online. But where Zepp truly sets itself apart is what they're doing with all that information: building coaching strategies into the apps themselves.

As Fass says, "We want to tell our users, 'Hey, you should practice with your 7 iron, you haven't used it in a long time,' or, 'All your buddies are using this club and coming through 5mph faster. Give it a shot.'" And soon, users will be able to use their phone as an additional sensor measuring hip rotation for even greater accuracy.

Swing away.

How Hacker News Rankings Really Work

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My first article for Co.Labs was about a 65-year-old Android engineer. It hit the number one spot on Y Combinator's wildly popular Hacker News, greatly increasing readership, but I never thought to investigate how it got there. Google developer Ken Shirriff has.

Shirriff analyzed the supposedly meritocratic system of Hacker News rankings and found that the fate of the front page stories is not just determined by votes, but also by a mysterious system of "penalties" which could push stories with certain intrinsic characteristics down the rankings.

Shirriff tracked the top 60 Hacker News stories for several days and found that 20% of front-page stories and 38% of the articles on the second page had been penalized, causing them to drop rapidly down the rankings.

Shirriff's own blog post on the results of his study became one of the penalty systems' victims, being forced off the front page after a penalty was applied. Without the penalty, he claims the post would have appeared at the #5 spot.

According to Shiriff the basic Hacker News score is determined by the number of upvotes, the time which has passed since it was submitted, and any penalties applied. Time is weighed more highly than votes to make sure that nothing stays too long on the front page, but penalties also play a big part.

By charting the fate of the top 60 stories stories on November 11, Shiriff showed that the #1 spot (the red line in the graph) was frequently not occupied by the most popular story. A story called "Why You Should Never Use MongoDB" should have spent much of the day at #1 based on the raw score, but it was penalized to the degree that it mostly lingered at around #7.

If an article receives a penalty factor of 0.4, every upvote only counts as 0.3 votes. A penalty factor of 0.1 pushes each vote down to counting as only 0.05 votes. Shiriff's estimates that his own article suffered a penalty of 0.2. It's not clear how and why penalties are applied but Shiriff noticed that many penalties were applied at around 9 a.m. and theorizes that this could be when moderators start work.

Articles appear to be commonly penalized for controversy, indicated by attracting more than 40 comments, for coming from a popular website like ArsTechnica, Business Insider or GitHub, or merely for including "NSA" in the title.

Commenters on Hacker News pointed out that the analysis didn't factor in flagging. If an approved Hacker News reader--flagging is not available to all users--thinks a post is spam or off topic, he can flag it for removal.

Homeland Security's Latest Nuclear Defense System Could Be All of Us

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Location-based services are great for things like discounts at nearby restaurants, or a heads-up for traffic, or tracking a morning jog. But what if your phone could take action on your behalf in the event you drove past (say) a rogue nuclear weapon?

Last month on the U.S. government's Federal Business Opportunities page, a Request for Information was posted for what's being referred to as a Human Portable Tripwire system. The request serves as a sort of tentative inquiry--it's not so much a positive indication that the federal government will move ahead with a project as it is an opportunity for private citizens to mentally prepare themselves to become de facto bomb sniffers.

Theoretically, the Human Portable Tripwire system would involve a wearable device that would passively scan for radiation and relay any discoveries of radioactive material back to Homeland Security via satellite phone or Internet connection. As the project calls for a passive system, it would function much like Near-Field Communication (NFC) or any other location-aware tech--once you turn it on, you don't have to do anything else.

As Michael Peck writes in his breakdown of the ROI on Medium, it's unclear whether the system is intended for public or Department of Homeland Security use:

This might be useful for security personnel patrolling an installation like a port or a large event like a major league football game. It could also mean that human tripwires could be detecting radiation as they walk the dog or take the train to work.

The project might smack of Cold War-era paranoia, but should the government move forward with the Human Tripwire Project, it wouldn't necessarily be the first initiative in recent memory that sought to crowdsource national security.

Cell-All is an initiative that began in 2007 to find a way of incorporating chemical sensors into smartphones, which would warn users and automatically notify authorities if it detected a chemical threat. While the Human Tripwire project doesn't really have anything to do with cell phones--yet--the principle is the same: a distributed approach toward identifying and responding to threats and emergencies that attempts to mitigate the potential for human error.

Whether either project will ever come to fruition remains to be seen, but in a time when Internet users are actively seeking out services that will help protect their privacy and information on how to do it in abundance, it's hard to see any such initiative being met with anything other than unease.

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