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.”
Why I’m a Crabby Patty About AI and Cognitive Science (Fredrik Deboer) — huzzah! the current lack of progress in artificial intelligence is not a problem of insufficient processing power. Talking about progress in artificial intelligence by talking about increasing processor power is simply a non sequitur. If we knew the problems to be solved by more powerful processors, we’d already have solved some of the central questions!
Jasper Project — an open source platform for developing always-on, voice-controlled applications. Shouting is the new swiping—I eagerly await Gartner touting the Internet-of-things-that-misunderstand-you.
New Unlicensed Spectrum — The unanimous vote frees up 100 MHz of airwaves in the lower part of 5 GHz spectrum band. Previously, the FCC reserved those airwaves for exclusive use by a satellite phone company. The FCC vote opens those unlicensed airwaves so they can be used by consumer electronics equipment, including Wi-Fi routers. With the new airwaves, Wi-Fi equipment can handle more traffic at higher speeds.
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.
$200k of Spaceships Destroyed (The Verge) — More than 2,200 of the game’s players, members of EVE’s largest alliances, came together to shoot each other out of the sky. The resultant damage was valued at more than $200,000 of real-world money. [...] Already, the battle has had an impact on the economics and politics of EVE’s universe: as both side scramble to rearm and rebuild, the price of in-game resource tritanium is starting to rise. “This sort of conflict,” Coker said, “is what science fiction warned us about.”
Google Now Has an AI Ethics Committee (HufPo) — sorry for the HufPo link. One of the requirements of the DeepMind acquisition was that Google agreed to create an AI safety and ethics review board to ensure this technology is developed safely. Page’s First Law of Robotics: A robot may not block an advertisement, nor through inaction, allow an advertisement to come to harm.
Academic Torrents — a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds built on BitTorrent.
Intel On-Device Voice Recognition (Quartz) — interesting because the tension between client-side and server-side functionality is still alive and well. Features migrate from core to edge and back again as cycles, data, algorithms, and responsiveness expectations change.
Google’s Seven Robotics Companies (IEEE) — The seven companies are capable of creating technologies needed to build a mobile, dexterous robot. Mr. Rubin said he was pursuing additional acquisitions. Rundown of those seven companies.
Hebel (Github) — GPU-Accelerated Deep Learning Library in Python.
What We Learned Open Sourcing — my eye was caught by the way they offered APIs to closed source code, found and solved performance problems, then open sourced the fixed code.
Collaboration, Stars, and the Changing Organization of Science: Evidence from Evolutionary Biology — The concentration of research output is declining at the department level but increasing at the individual level. [...] We speculate that this may be due to changing patterns of collaboration, perhaps caused by the rising burden of knowledge and the falling cost of communication, both of which increase the returns to collaboration. Indeed, we report evidence that the propensity to collaborate is rising over time. (via Sciblogs)