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)
The Virtuous Pipeline of Code (Public Resource) — Chicago partnering with Public Resource to open its legal codes for good. “This is great! What can we do to help?” Bravo Chicago, and everyone else—take note!
Smithsonian’s 3D Data — models of 21 objects, from a gunboat to the Wright Brothers’ plane, to a wooly mammoth skeleton, to Lincoln’s life masks. I wasn’t able to find a rights statement on the site which explicitly governed the 3D models. (via Smithsonian Magazine)
Anki’s Robot Cars (Xconomy) — The common characteristics of these future products, in Sofman’s mind: “Relatively simple and elegant hardware; incredibly complicated software; and Web and wireless connectivity to be able to continually expand the experience over time.” (via Slashdot)
An Empirical Evaluation of TCP Performance in Online Games — We show that because TCP was originally designed for unidirectional and network-limited bulk data transfers, it cannot adapt well to MMORPG traffic. In particular, the window-based congestion control and the fast retransmit algorithm for loss recovery are ineffective. Furthermore, TCP is overkill, as not every game packet needs to be transmitted in a reliably and orderly manner. We also show that the degraded network performance did impact users’ willingness to continue a game.
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.
Steve Yegge on GROK (YouTube) — The Grok Project is an internal Google initiative to simplify the navigation and querying of very large program source repositories. We have designed and implemented a language-neutral, canonical representation for source code and compiler metadata. Our data production pipeline runs compiler clusters over all Google’s code and third-party code, extracting syntactic and semantic information. The data is then indexed and served to a wide variety of clients with specialized needs. The entire ecosystem is evolving into an extensible platform that permits languages, tools, clients and build systems to interoperate in well-defined, standardized protocols.
Deep Learning for Semantic Analysis — When trained on the new treebank, this model outperforms all previous methods on several metrics. It pushes the state of the art in single sentence positive/negative classification from 80% up to 85.4%. The accuracy of predicting fine-grained sentiment labels for all phrases reaches 80.7%, an improvement of 9.7% over bag of features baselines. Lastly, it is the only model that can accurately capture the effect of contrastive conjunctions as well as negation and its scope at various tree levels for both positive and negative phrases.
Fireshell — workflow tools and framework for front-end developers.