Fairness in Machine Learning — read this fabulous presentation. Most ML objective functions create models accurate for the majority class at the expense of the protected class. One way to encode “fairness” might be to require similar/equal error rates for protected classes as for the majority population.
A Recent Discussion about DRM (Joi Ito) — strong arguments against including Digital Rights Management in W3C’s web standards (I can’t believe we’re still debating this; it’s such a self-evidently terrible idea to bake disempowerment into web standards).
U.S. Textile Industry Turns to Tech as Gateway to Revival — Warwick Mills is joining the Defense Department, universities including the Massachusetts Institute of Technology, and nearly 50 other companies in an ambitious $320 million project to push the American textile industry into the digital age. Key to the plan is a technical ingredient: embedding a variety of tiny semiconductors and sensors into fabrics that can see, hear, communicate, store energy, warm or cool a person, or monitor the wearer’s health.
Squeezing AI into Mobile Systems (IEEE Spectrum) — Sze, working with Joel Emer, also an MIT computer science professor and senior distinguished research scientist at Nvidia, developed Eyeriss, the first custom chip designed to run a state-of-the-art convolutional neural network. They showed they could run AlexNet, a particularly demanding algorithm, using less than one-tenth the energy of a typical mobile GPU: instead of consuming 5 to 10 watts, Eyeriss used 0.3 W.
The 8-Bit Game That Makes Statistics Addictive (The Atlantic) — that game is Guess The Correlation. “As a researcher, you read papers and a lot of the time, you eyeball the figures without even reading the text,” he says. “You see a plot—it could even be your own plot—and make a judgment based on it. Contrary to what people believe, they’re not very good at this. And I have the data to prove that.”
Quantified Baby — The idea of self-tracking for children raises thorny questions of control and consent, Nafus said. Among hard-core practitioners, the idea has not really taken off, even as related products have started hitting the market.
Automated Lip Reading Invented — press release, but interesting topic. The research will be presented at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in Shanghai.
A Smartphone-based Laser Distance Sensor for Outdoor Environments (PDF) — We present a low-cost, smartphone-based planar laser distance sensor design for outdoor use with 6 cm accuracy at 5 meters, 30 Hz scan rate, and 0.1 degree resolution over the field of view. The cost of the hardware additions to the off-the-shelf smartphone used in our prototype is under $50.
Internet Archive Seeks to Defend Against Wrongful Takedowns — In its submission, the Archive goes to some lengths to highlight differences between those engaging in commercial piracy and those who seek to preserve and share cultural heritage. As a result, the context in which a user posts content online should be considered before attempting to determine whether an infringement has taken place. This, the organization says, poses problems for the “staydown” demands gaining momentum with copyright holders.
Ten More Years! — my brand spanking new chip card from a UK issuer not only arrived with a 2000s app of a 1990s implementation of a 1980s product (debit) on 1970s chip, it also came with a 1960s magnetic stripe on it and a 1950s PAN with a 1940s signature panel on the back. It’s no wonder it seems a little out of place in the modern world.
The Paradox of Human Performance (YouTube) — Human dexterity and agility vastly exceed that of contemporary robots. Yet, humans have vastly slower “hardware” (e.g. muscles) and “wetware” (e.g. neurons). How can this paradox be resolved? Slow actuators and long communication delays require predictive control based on some form of internal model—but what form? (via Robohub)
The 2016 Car Hacker’s Handbook (Amazon) — will give you a deeper understanding of the computer systems and embedded software in modern vehicles. It begins by examining vulnerabilities and providing detailed explanations of communications over the CAN bus and between devices and systems. (via BoingBoing)
More Exoskeletons Seeking FDA Approval — The international group of exoskeleton providers with various FDA or CE certifications is growing and currently includes: Ekso in the US; Cyberdyne in the EU and Japan; ExoAtlet from Russia; and Israel’s ReWalk. Other providers are in the process of getting approvals or developing commercial versions of their products. My eye was caught by how global the list of exoskeleton companies is.
Everything You Know About AI Is Wrong (Gizmodo) — an interesting run-through of myths and claims about AI. I’m not ready to consider all of these “busted,” but they are some nice starters-for-ten in your next pub argument about whether the Matrix is coming.
What Thomas Hardy Taught Me — In educational research, perhaps the greatest danger lies in thinking “that which I cannot measure is not real.” The disruption fetishists have amplified this danger, now evincing the attitude “teaching that cannot be said to lead to the immediate acquisition of rote, mechanical skills has no value.” But absolutely every aspect of my educational journey — as a student, as a teacher, and as a researcher — demonstrates the folly of this approach to learning. (via Dan Meyer)
Neutral Nets on Encrypted Data (Paper a Day) — By using a technique known as homohorphic encryption, it’s possible to perform operations on encrypted data, producing an encrypted result, and then decrypt the result to give back the desired answer. By combining homohorphic encryption with a specially designed neural network that can operate within the constraints of the operations supported, the authors of CryptoNet are able to build an end-to-end system whereby a client can encrypt their data, send it to a cloud service that makes a prediction based on that data – all the while having no idea what the data means, or what the output prediction means – and return an encrypted prediction to the client, which can then decrypt it to recover the prediction. As well as making this possible, another significant challenge the authors had to overcome was making it practical, as homohorphic encryption can be expensive.
VR for IoT Prototype (YouTube) — a VR prototype created for displaying sensor data and video streaming in real time from IoT sensors/camera devices designed for rail or the transportation industry.