Inside Google’s Self-Driving Car (Atlantic Cities) — Urmson says the value of maps is one of the key insights that emerged from the DARPA challenges. They give the car a baseline expectation of its environment; they’re the difference between the car opening its eyes in a completely new place and having some prior idea what’s going on around it. This is a long and interesting piece on the experience and the creator’s concerns around the self-driving cars. Still looking for the comprehensive piece on the subject.
How One Woman Hid Her Pregnancy From Big Data (Mashable) — “I really couldn’t have done it without Tor, because Tor was really the only way to manage totally untraceable browsing. I know it’s gotten a bad reputation for Bitcoin trading and buying drugs online, but I used it for BabyCenter.com.”
Connected for a Purpose (Jim Stogdill) — At a recent conference, an executive at a major auto manufacturer described his company’s efforts to digitize their line-up like this: “We’re basically wrapping a two-ton car around an iPad. Eloquent critique of the Internet of Shallow Things.
Why Nate Silver Can’t Explain It All — Data extrapolation is a very impressive trick when performed with skill and grace, like ice sculpting or analytical philosophy, but it doesn’t come equipped with the humility we should demand from our writers. Would be a shame for Nate Silver to become Malcolm Gladwell: nice stories but they don’t really hold up.
Gender and VR (danah boyd) — Although there was variability across the board, biological men were significantly more likely to prioritize motion parallax. Biological women relied more heavily on shape-from-shading. In other words, men are more likely to use the cues that 3D virtual reality systems relied on. Great article, especially notable for there are more sex hormones on the retina than in anywhere else in the body except for the gonads.
Even The Innocent Should Worry About Sex Offender Apps (Quartz) — And when data becomes compressed by third parties, when it gets flattened out into one single data stream, your present and your past collide with potentially huge ramifications for your future. When it comes to personal data—of any kind—we not only need to consider what it will be used for but how that data will be represented, and what such representation might mean for us and others. Data policies are like justice systems: either you suffer a few innocent people being wrongly condemned (bad uses of open data0, or your system permits some wrongdoers to escape (mould grows in the dark).
On Managers (Mike Migurski) — Managers might be difficult, hostile, or useless, but because they are parts of an explicit power structure they can be evaluated explicitly.
Big Data: Humans Required (Sherri Hammons) — the heart of the problem with data: interpretation. Data by itself is of little value. It is only when it is interpreted and understood that it begins to become information. GovTech recently wrote an article outlining why search engines will not likely replace actual people in the near future. If it were merely a question of pointing technology at the problem, we could all go home and wait for the Answer to Everything. But, data doesn’t happen that way. Data is very much like a computer: it will do just as it’s told. No more, no less. A human is required to really understand what data makes sense and what doesn’t. (via Anne Zelenka)
Morgan Stanley on the Economic Benefits of Driverless Cars — The total savings of over $5.6 trillion annually are not envisioned until a couple of decades as Morgan Stanley see four phases of adoption of self-driving vehicles. Phase 1 is already underway, Phase 2 will be semi-autonomous, Phase 3 will be within 5 to 10 years, by which time we will see fully self-driving vehicles on the roads – but not widespread usage. The authors say Phase 4, which will have the biggest impact, is when 100% of all vehicles on the roads will be fully autonomous, they say this may take a couple of decades.
Worse (Marco Arment) — I’ve been sitting on this but can’t fault it. In the last few years, Google, Apple, Amazon, Facebook, and Twitter have all made huge attempts to move into major parts of each others’ businesses, usually at the detriment of their customers or users.
Meet the People Making New Games for Old Hardware — “We’re all fighting for the same goal,” Cobb says. “There’s something artistic, and disciplined, about creating games for machines with limited hardware. You can’t pass off bloat as content, and you can’t drop in a licensed album in place of a hand-crafted digital soundtrack. To make something great you have to work hard, and straight from the heart. That’s what a lot of gamers still wish to see. And we’re happy to provide it for them.”
DeepFace: Closing the Gap to Human-Level Performance in Face Verification — Facebook research into using deep neural networks for face recognition. Our method reaches an accuracy of 97.25% on the Labeled Faces in the Wild (LFW) dataset, reducing the error of the current state of the art by more than 25%, closely approaching human-level performance. “The best minds of my generation are thinking about how to make people click ads.” —Jeff Hammerbacher.
Helsinki Does Uber for Buses — Helsinki’s Kutsuplus lets you select your pick-up and drop-off locations and times, using a phone app, and then sends out a bus to take you exactly where you need to go.
Ford Invites Open-Source Community to Tinker Away — One example: Nelson has re-tasked the motor from a Microsoft Xbox 360 game controller to create an OpenXC shift knob that vibrates to signal gear shifts in a standard-transmission Mustang. The 3D-printed prototype shift knob uses Ford’s OpenXC research platform to link devices to the car via Bluetooth, and shares vehicle data from the on-board diagnostics port. Nelson has tested his prototype in a Ford Mustang Shelby GT500 that vibrates at the optimal time to shift.
Cost-Efficient Continuous Integration at Mozilla — CI on a big project can imply hundreds if not thousands of VMs on Amazon spinning up to handle compiles and tests. This blog post talks about Mozilla’s efforts to reduce its CI-induced spend without reducing the effectiveness of its CI practices.
Conceal (Github) — Facebook Android tool for apps to encrypt data and large files stored in public locations, for example SD cards.
Dreamliner Software — all three of the jet’s navigation computers failed at the same time. “The cockpit software system went blank,” IBN Live, an Indian television station, reported. The Internet of Rebooting Things.
Expecting Better — an economist runs the numbers on the actual consequences of various lifestyle choices during pregnancy. (via sciblogs)
Business as Usual in the Innovation Industry — the only thing worse than business plan contests for startups is innovation wankfests for small arts groups. [T]he vast majority of small and mid-sized arts organizations are not broken so much as they are in a constant state of precarity that could largely be addressed by reliable funding streams to support general operations and less onerous grant application processes that would allow them to focus more on delivering services and less on raising money. Hear! (via Courtney Johnston)
Driverless Cars Are Further Away Than You Think (MIT Technology Review) — nice roundup of potential benefits. experiments involving modified road vehicles conducted by Volvo and others in 2011 suggest that having vehicles travel in high-speed automated “platoons,” thereby reducing aerodynamic drag, could lower fuel consumption by 20 percent. And an engineering study published last year concluded that automation could theoretically allow nearly four times as many cars to travel on a given stretch of highway.
Vehicle Tech Out of Sync with Drivers’ Devices — Ford Motor Co. has its own system. Apple Inc. is working with one set of automakers to design an interface that works better with its iPhone line. Some of the same car companies and others have joined the Car Connectivity Consortium, which is working with the major Android phone brands to develop a different interface. FFS. “… you are changing your phone every other year, and the top-of-mind apps are continuously changing.” That’s why Chevrolet, Mini and some other automakers are starting to offer screens that mirror apps from a smartphone.
OpenCV for Processing (Github) — OpenCV for Processing is based on the official OpenCV Java bindings. Therefore, in addition to a suite of friendly functions for all the basics, you can also do anything that OpenCV can do. And a book from O’Reilly, and it’ll be CC-licensed. All is win. (via Greg Borenstein)
Google’s Driverless Car is Worth Trillions (Forbes) — Much of the reporting about Google’s driverless car has mistakenly focused on its science-fiction feel. […] In fact, the driverless car has broad implications for society, for the economy and for individual businesses. Just in the U.S., the car puts up for grab some $2 trillion a year in revenue and even more market cap. It creates business opportunities that dwarf Google’s current search-based business and unleashes existential challenges to market leaders across numerous industries, including car makers, auto insurers, energy companies and others that share in car-related revenue.
DIY BioPrinter (Instructables) — Think of it as 3D printing, but with squishier ingredients! How to piggyback on inkjet printer technology to print with your own biomaterials. It’s an exciting time for biohackery: FOO Ewan Birney is kicking ass and taking names, he was just involved in a project storing and retrieving data from DNA.
ADAMS — open sourced workflow tool for machine learning, from the excellent people at Waikato who brought you WEKA. ADAMS = Advanced Data mining And Machine learning System.
The Internet of Things That Do What You Tell Them: Cory Doctorow passionately explains how computers are already entwined in our lives, which means laws that support lock-in are much more than inconveniences.