- nupic (github) -GPL v3-licensed ode from Numenta, at last. See their patent position.
- Robocup — soccer robotics contest, condition of entry is that all codes are open sourced after the contest. (via The Economist)
- Security Data Science Paper Collection — machine learning, big data, analysis, reports, all around security issues.
- Building an Open Wireless Router — EFF call for coders to help build a wireless router that’s more secure and more supportive of open sharing than current devices.
ENTRIES TAGGED "ai"
Numenta Code, Soccer Robotics, Security Data Science, Open Wireless Router
Interacting with Connected Objects, Continuous Security Review, Chess AI, and Scott Hanselman is Hilarious
- Interacting with a World of Connected Objects (Tom Coates) — notes from one of my favourite Foo Camp sessions.
- Security Considerations with Continuous Deployment (IBM) — rundown of categories of security issues your org might face, and how to tackle them in the continuous deployment cycle. (via Emma Jane Westby)
- The Chess Master and the Computer (Garry Kasparov) — Increasingly, a move isn’t good or bad because it looks that way or because it hasn’t been done that way before. It’s simply good if it works and bad if it doesn’t. Although we still require a strong measure of intuition and logic to play well, humans today are starting to play more like computers. (via Alexis Madrigal)
Some of AI's viable approaches lie outside the organizational boundaries of Google and other large Internet companies.
Editor’s note: this post is part of an ongoing series exploring developments in artificial intelligence.
Here’s a simple recipe for solving crazy-hard problems with machine intelligence. First, collect huge amounts of training data — probably more than anyone thought sensible or even possible a decade ago. Second, massage and preprocess that data so the key relationships it contains are easily accessible (the jargon here is “feature engineering”). Finally, feed the result into ludicrously high-performance, parallelized implementations of pretty standard machine-learning methods like logistic regression, deep neural networks, and k-means clustering (don’t worry if those names don’t mean anything to you — the point is that they’re widely available in high-quality open source packages).
Google pioneered this formula, applying it to ad placement, machine translation, spam filtering, YouTube recommendations, and even the self-driving car — creating billions of dollars of value in the process. The surprising thing is that Google isn’t made of magic. Instead, mirroring Bruce Scheneier’s surprised conclusion about the NSA in the wake of the Snowden revelations, “its tools are no different from what we have in our world; it’s just better funded.” Read more…
Design Review, Open Source IDS, Myths of Autonomy, and Rich Text Widget
- Questions I Ask When Reviewing a Design (Jason Fried) — a good list of questions to frown and stroke one’s chin while asking.
- Bro — open source network security monitor/IDS.
- Seven Deadly Myths of Autonomy (PDF) — it’s easy to fall prey to the fallacy that automated assistance is a simple substitute or multiplier of human capability because, from the point of view of an outsider observing the assisted human, it seems that—in successful cases, at least—the people are able to perform the task faster or better than they could without help. In reality, however, help of whatever kind doesn’t simply enhance our abilities to perform the task: it changes the nature of the task.
- Quill — open source in-browser rich text editor. People, while you keep making me type into naked TEXTBOX fields, I’m going to keep posting links to these things.
Cloud Jurisdiction, Driverless Cars, Robotics IPOs, and Fitting a Catalytic Convertor to Your Data Exhaust
- US Providers Must Divulge from Offshore Servers (Gigaom) — A U.S. magistrate judge ruled that U.S. cloud vendors must fork over customer data even if that data resides in data centers outside the country. (via Alistair Croll)
- 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.
- Recent Robotics-Relate IPOs — not all the exits are to Google.
- 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.”
Foresight and Innovation, Artificial Intelligence, Consumer IoT, and Gender Disparity
- Playbook for Strategic Foresight & Innovation — MANY pages of framework and exercises. Good for what it is, but also as a model for how to disseminate your ideas and frame for the world to consume.
- 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!
- Four Types of Consumer Internet of Things Things (BERG London) — nice frame for the different needs of the different types of products and services.
- We Can Do Better — a visualisation of the gender disparity in engineering teams in the tech industry.
Internet of Listeners, Mobile Deep Belief, Crowdsourced Spectrum Data, and Quantum Minecraft
- 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.
- DeepBeliefSDK — deep neural network library for iOS. (via Pete Warden)
- Microsoft Spectrum Observatory — crowdsourcing spectrum utilisation information. Just open sourced their code.
- qcraft — beginner’s guide to quantum physics in Minecraft. (via Nelson Minar)
Auto Ethics, Baio on Medium, Internet of Insecure Things, New Unlicensed Spectrum
- Can We Design Systems to Automate Ethics — code in self-driving cars will implement a solution to the trolley problem. But which solution?
- My First Post on Medium (Andy Baio) — one or two glitches but otherwise fine demonstration of what’s possible with Medium.
- SCADA Vulnerability: 7600 Plants at Risk (BBC) — the vulnerabilities are in unpatched Centum CS 3000 software. The real business for IoT is secure remote updates and monitoring. (via Slashdot)
- 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, Human Data, Driverless Cars, and Bad Business
- 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.