Social Intelligence in Mario Bros (YouTube) — collaborative agents built by cognitive AI researchers … they have drives, communicate, learn from each other, and solve problems. Oh, and the agents are Mario, Luigi, Yoshi, and Toad within a Super Mario Brothers clone. No code or papers about it on the research group’s website yet, just a YouTube video and a press release on the university’s website, so appropriately adjust your priors for imminent world destruction at the hands of a rampaging super-AI. (via gizmag)
Simple Anomaly Detection for Weekly Patterns — Rule-based heuristics do not scale and do not adapt easily, especially if we have thousands of alarms to set up. Some statistical approach is needed that is generic enough to handle many different metric behaviours.
How to Design a Robotics Experiment (Robohub) — although there are many good experimental scientists in the robotic community, there has not been uniformly good experimental work and reporting within the community as a whole. This has advice such as “the five components of a well-designed experiment.”
Elemental Machines — Boston startup fitting experiments & experimenters with sensors, deep learning to identify problems (vibration, humidity, etc.) that could trigger experimental failure. [C]rucial experiments are often delayed by things that seem trivial in retrospect. “I talked to my friends who worked in labs,” Iyengar says. “Everyone had a story to tell.” One scientist’s polymer was unstable because of ultraviolet light coming through a nearby window, he says; that took six months to debug. Another friend who worked at a pharmaceutical company was testing drug candidates in mice. The results were one failure after another, for months, until someone figured out that the lab next door was being renovated, and after-hours construction was keeping the mice awake and stressing them out. (that quote from Xconomy)
Usborne Computer and Coding Books — not only do they have sweet Scratch books for kids, they also have their nostalgia-dripping 1980s microcomputer books online. I still have a pile of my well-loved originals.
Powerful People are Terrible at Making Decisions Together — Researchers from the Haas School of Business at the University of California, Berkeley, undertook an experiment with a group of health care executives on a leadership retreat. They broke them into groups, presented them with a list of fictional job candidates, and asked them to recommend one to their CEO. The discussions were recorded and evaluated by independent reviewers. The higher the concentration of high-ranking executives, the more a group struggled to complete the task. They competed for status, were less focused on the assignment, and tended to share less information with each other.
MyBinder — turn a GitHub repo into a collection of interactive notebooks powered by Jupyter and Kubernetes.
Spermbots — Researchers from the Institute for Integrative Nanosciences at IFW Dresden in Germany have successfully tested tiny, magnetically-driven power suits for individual sperm that can turn them into steerable cyborg “spermbots” that can be remote controlled all the way to the egg. But can they make an underwire bra that the washing machine doesn’t turn into a medieval torture device?
What’s Eating Silicon Valley — In 2014, more Harvard Business School Grads went into technology than into banking for the first time since the dot-com era. […] another reason Wall Street had trouble maintaining goodwill was because of some of the attributes above—hard-charging, too much too soon, parallel reality, money flowing everywhere, rich white guys, etc. The Wall St comparison was new to me, but I can see it as a goodwill risk.
OpenTrons — $3,000 open source personal lab robot for science, with downloadable/shareable protocols.
Why Big Companies Keep Failing: The Stack Fallacy — you’re more likely to succeed if you expand down (to supplant your suppliers) than up (to build the products that are built on top of your product) because you’re a customer of your suppliers, so you know what good product-market fit will look like, but you’re just fantasizing that you can supplant your downstream value.
Tesla Model S Can Now Drive Without You (TechCrunch) — the upside of the Internet of Things is that objects get smarter while you sleep. (In fairness, they can also be pwned by Ukrainian teenagers while you sleep.)
Replacing Judgement with Algorithms (Bruce Schneier) — We can get the benefits of automatic algorithmic systems while avoiding the dangers. It’s not even hard. Transparency and oversight with accountability.
Lessig Interview (WSJ) — the slogan says regulation should be more technology neutral. I am not sure I ever heard a more idiotic statement in my life. There is no neutrality here, just different modes. … I don’t what think the law should say here is what services can do and not do, because the technology is so (fast-changing) the law could never catch up. But that what (we want) to avoid are certain kinds of business models, a prison of bits, where services leverage control over access to content and profit from that control over content.
Bubble-Driven Pseudoscience — In terms of life extension, here are the real opportunities: closing the gap between black and white patients, lowering the infant mortality rate, and making sure the very poorest among us have access to adequate care. You can make sure that many people live longer, right now! But none of this is quite as sexy as living forever, even though it’s got a greater payoff for the nation as a whole. So instead of investing in these areas, you’ve got a bunch of old white men who are afraid to die trying to figure out cryonics.
Pyro (Usenix) — This paper presents Pyro, a spatial-temporal big data storage system tailored for high-resolution geometry queries and dynamic hotspots. Pyro understands geometries internally, which allows range scans of a geometry query to be aggregately optimized. Moreover, Pyro employs a novel replica placement policy in the DFS layer that allows Pyro to split a region without losing data locality benefits.
Inside Mark Zuckerberg’s Bold Plan for Facebook (FastCompany) — “One of our goals for the next five to 10 years,” Zuckerberg tells me, “is to basically get better than human level at all of the primary human senses: vision, hearing, language, general cognition.”
Mirador — open source tool for visual exploration of complex data sets. It enables users to discover correlation patterns and derive new hypotheses from the data.
How 23AndMe Got Regulatory Approval Back (Fast Company) — In order to meet FDA requirements, the design team had to prove that the reports provided on the website would be comprehensible to any American consumer, regardless of their background or education level. And you thought YOUR design brief was hard.
Getting Comfortable with Uncertainty (The Atlantic) — We have this natural distaste for things that are unfamiliar to us, things that are ambiguous. It goes up from situational stressors, on an individual level and a group level. And we’re stuck with it simply because we have to be ambiguity-reducers.
50 Years of Data Science (PDF) — Because all of science itself will soon become data that can be mined, the imminent revolution in Data Science is not about mere “scaling up,” but instead the emergence of scientific studies of data analysis science-wide.
Spinal Cord Injury Breakthrough by Software — This wasn’t the result of a new, long-term study, but a meta-analysis of $60 million worth of basic research written off as useless 20 years ago by a team of neuroscientists and statisticians led by the University of California San Francisco and partnering with the software firm Ayasdi, using mathematical and machine learning techniques that hadn’t been invented yet when the trials took place.
The Assassination Complex (The Intercept) — America’s drone program’s weaknesses highlighted in new document dump: Taken together, the secret documents lead to the conclusion that Washington’s 14-year high-value targeting campaign suffers from an overreliance on signals intelligence, an apparently incalculable civilian toll, and — due to a preference for assassination rather than capture — an inability to extract potentially valuable intelligence from terror suspects.