Artificial Labour and Ubiquitous Interactive Machine Learning (Greg Borenstein) — in which design fiction, actual machine learning, legal discovery, and comics meet. One of the major themes to emerge in the 2H2K project is something we’ve taken to calling “artificial labor”. While we’re skeptical of the claims of artificial intelligence, we do imagine ever-more sophisticated forms of automation transforming the landscape of work and economics. Or, as John puts it, robots are Marxist.
Launching the Wolfram Connected Devices Project — Wolfram Alpha is cognition-as-a-service, which they hope to embed in devices. This data-powered Brain-in-the-Cloud play will pit them against Google, but G wants to own the devices and the apps and the eyeballs that watch them … interesting times ahead!
How the USA Almost Killed the Internet (Wired) — “At first we were in an arms race with sophisticated criminals,” says Eric Grosse, Google’s head of security. “Then we found ourselves in an arms race with certain nation-state actors [with a reputation for cyberattacks]. And now we’re in an arms race with the best nation-state actors.”
Intel Edison — SD-card sized, with low-power 22nm 400MHz Intel Quark processor with two cores, integrated Wi-Fi and Bluetooth.
N00b 2 L33t, Now With Graphs (Tom Stafford) — open science research validating many of the findings on learning, tested experimentally via games. In the present study, we analyzed data from a very large sample (N = 854,064) of players of an online game involving rapid perception, decision making, and motor responding. Use of game data allowed us to connect, for the first time, rich details of training history with measures of performance from participants engaged for a sustained amount of time in effortful practice. We showed that lawful relations exist between practice amount and subsequent performance, and between practice spacing and subsequent performance. Our methodology allowed an in situ confirmation of results long established in the experimental literature on skill acquisition. Additionally, we showed that greater initial variation in performance is linked to higher subsequent performance, a result we link to the exploration/exploitation trade-off from the computational framework of reinforcement learning.
Witrack — tracks the 3D motion of a user from the radio signals reflected off her body. It works even if the person is occluded from the WiTrack device or in a different room. WiTrack does not require the user to carry any wireless device, yet its accuracy exceeds current RF localization systems, which require the user to hold a transceiver. It transmits wireless signals whose power is 100 times smaller than Wi-Fi and 1000 times smaller than cellphone transmissions.
A Linux Christmas — Linux drives pretty much all of Amazon’s top-selling consumer electronics.
Nanocubes — a fast datastructure for in-memory data cubes developed at the Information Visualization department at AT&T Labs – Research. Nanocubes can be used to explore datasets with billions of elements at interactive rates in a web browser, and in some cases it uses sufficiently little memory that you can run a nanocube in a modern-day laptop. (via Ben Lorica)
SAMOA — Yahoo!’s distributed streaming machine learning (ML) framework that contains a programming abstraction for distributed streaming ML algorithms. (via Introducing SAMOA)
madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine-learning methods for structured and unstructured data.
Data Portraits: Connecting People of Opposing Views — Yahoo! Labs research to break the filter bubble. Connect people who disagree on issue X (e.g., abortion) but who agree on issue Y (e.g., Latin American interventionism), and present the differences and similarities visually (they used wordclouds). Our results suggest that organic visualisation may revert the negative effects of providing potentially sensitive content. (via MIT Technology Review)
ISS Enjoys Malware — Kaspersky reveals ISS had XP malware infestation before they shifted to Linux. The Gravity movie would have had more registry editing sessions if the producers had cared about FACTUAL ACCURACY.
Big Data Approach to Computational Creativity (Arxiv) — although the “results” are a little weak (methodology for assessing creativity not described, and this sadly subjective line “professional chefs at various hotels, restaurants, and culinary schools have indicated that the system helps them explore new vistas in food”), the process and mechanism are fantastic. Bayesian surprise, crowdsourced tagged recipes, dictionaries of volatile compounds, and more. (via MIT Technology Review)
Go at 4 — recapping four years of Go language growth.
Las Vegas Street Lights to Record Conversations (Daily Mail) — The wireless, LED lighting, computer-operated lights are not only capable of illuminating streets, they can also play music, interact with pedestrians and are equipped with video screens, which can display police alerts, weather alerts and traffic information. The high tech lights can also stream live video of activity in the surrounding area. Technology vendor is Intellistreets. LV says, Right now our intention is not to have any cameras or recording devices. Love that “right now”. Can’t wait for malware to infest it.
Introduction to Behaviour Trees — DAGs with codey nodes. Behavior trees replace the often intangible growing mess of state transitions of finite state machines (FSMs) with a more restrictive but also more structured traversal defining approach.
P vs NP Cheat Sheet — the space and time Big-O complexities of common algorithms used in Computer Science.