focusmotion.io — the world’s first machine learning SDK to track, learn, and analyze human motion on any sensor, on any OS, on any platform. You (or your users) train it on what combination of sensor patterns to label as a particular gesture or movement, and then it’ll throw those labels whenever.
Sensors Slip into the Brain and then Dissolve When Done (IEEE Spectrum) — pressure and temperature monitors, intended to be implanted in the brain, that completely dissolve within a few weeks. The news, published as a research letter in the journal Nature, described a demonstration of the devices in rats, using soluble wires to transmit the signals, as well as the demonstration of a wireless version, though the data transmission circuit, at this point, is not completely resorbable. The research was published as a letter to Nature.
GCHQ Proposes Surveillable Voice Call Encryption (The Register) — unsurprising, but should reiterate AGAIN that state security services would like us to live in the panopticon. Therefore, don’t let the buggers anywhere near the reins of our communication systems.
These Tricks Make Virtual Reality Feel Real — Scientists are exploiting the natural inaccuracies in people’s own proprioception, via a technique called “redirected walking,” to create the perception of space where none exists. With redirected walking, […] users can sense they are exploring the twisting byways of a virtual city when in reality they are simply walking in circles inside a lab.Original Redirect Walking paper.
Experience with Rules-Based Programming for Distributed Concurrent Fault-Tolerant Code (A Paper a Day) — To demonstrate applicability outside of the RAMCloud system, the team also re-wrote the Hadoop Map-Reduce job scheduler (which uses a traditional event-based state machine approach) using rules. The original code has three state machines containing 34 states with 163 different transitions, about 2,250 lines of code in total. The rules-based re-implementation required 19 rules in 3 tasks with a total of 117 lines of code and comments. Rules-based systems are powerful and underused.
OpenFace — open source face recognition software using deep neural networks.
Berkeley’s Intro-to-AI Materials — We designed these projects with three goals in mind. The projects allow students to visualize the results of the techniques they implement. They also contain code examples and clear directions, but do not force students to wade through undue amounts of scaffolding. Finally, Pac-Man provides a challenging problem environment that demands creative solutions; real-world AI problems are challenging, and Pac-Man is, too.
Overview of the Civilian Drone Market (DIY Drones) — Six categories: toy quadcopters; FPV/racing; consumer camera drones; prosumer camera drones; consumers, industrial, agricultural, NGO and Research drones; winged and VTOL drones.
Bottom Up Computer Science — A free, online book designed to teach computer science from the bottom end up. Topics covered include binary and binary logic, operating systems internals, toolchain fundamentals, and system library fundamentals.
Real-world Probabilistic Algorithms (Tyler McMullen) — This article addresses two types of probabilistic algorithms: those that explicitly introduce randomness through a rand() call, and those that convert input data into a uniform distribution to achieve a similar effect.
Class of 2016 — those whose works will, on 1st January 2016, be entering the public domain in many countries around the world. Le Corbusier, T.S. Eliot, Malcolm X, Bela Bartok, Winston Churchill, and W. Somerset Maugham among others. (Which person in which country depends on copyright term. Not for you, America. Nor us after TPP)
DeepDive — Stanford project to create structured data (SQL tables) from unstructured information (text documents) and integrate such data with an existing structured database. DeepDive is used to extract sophisticated relationships between entities and make inferences about facts involving those entities. Code is open source (Apache v2 license). (via Infoworld)
Visual Microphone (MIT) — turn everyday objects — a glass of water, a potted plant, a box of tissues, or a bag of chips — into visual microphones using high-speed photography to detect the small vibrations caused by sound. (via Infoworld)
Data Analytics in Sports — O’Reilly research report (free). When it comes to processing stats, competing companies Opta and ProZone use a combination of recording technology and human analysts who tag “events” within the game (much like Vantage Sports). Opta calculates that it tags between 1,600 and 2,000 events per football game — all delivered live.
How Will Real-Time Tracking Change the NFL? (New Yorker) — At the moment, the NFL is being tightfisted with the data. Commentators will have access during games, as will the betting and analytics firm Sportradar. Users of the league’s Xbox One app, which provides an interactive way of browsing video clips, fantasy-football statistics, and other metrics, will be able to explore a feature called Next Gen Replay, which allows them to track each player’s speed and trajectory, combining moving lines on a virtual field with live footage from the real one. But, for now, coaches are shut out; once a player exits the locker room on game day, the dynamic point cloud that is generated by his movement through space is a corporately owned data set, as outlined in the league’s 2011 collective-bargaining agreement. Which should tell you all you need to know about the NFL’s role in promoting sporting excellence.
Computer Science Courses that Don’t Exist, But Should (James Hague) — CSCI 3300: Classical Software Studies. Discuss and dissect historically significant products, including VisiCalc, AppleWorks, Robot Odyssey, Zork, and MacPaint. Emphases are on user interface and creativity fostered by hardware limitations.
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Soul-Searching in TV Land Over the Challenges of a New Golden Age (NY Times) — The number of scripted shows produced by networks, cable networks and online services ballooned to 371 last year, according to statistics compiled by FX. Mr. Landgraf believes that figure will pass 400 this year, which would nearly double the 211 shows made in 2009. […] predicted that the number of shows would slowly return to about 325 over the next few years, in large part because scripted television is expensive.