Lifeboat Foundation

Historians are using data science to unearth overlooked female power brokers, imperial influencers, and other figures hidden in ancient texts.

As the World Wide Web marks its 30th birthday on Tuesday, public discourse is dominated by alarm about Big Tech, data privacy and viral disinformation. Tech executives have been called to testify before Congress, a popular campaign dissuaded Amazon from opening a second headquarters in New York and the United Kingdom is going after social media companies that it calls “digital gangsters.” Implicit in this tech-lash is nostalgia for a more innocent online era.

Let’s not let artificial intelligence put society on autopilot.

Up until now, the ability to make gray goo has been theoretical. However, the scientists at the Columbia University School of Engineering and Applied Science have made a significant breakthrough. The individual components are computationally simple but can exhibit complex behavior.

Current robots are usually self-contained entities made of interdependent subcomponents, each with a specific function. If one part fails, the robot stops working. In robotic swarms, each robot is an independently functioning machine.

In a new study published today in Nature, researchers at Columbia Engineering and MIT Computer Science & Artificial Intelligence Lab (CSAIL), demonstrate for the first time a way to make a robot composed of many loosely coupled components, or “particles.” Unlike swarm or modular robots, each component is simple, and has no individual address or identity. In their system, which the researchers call a “particle robot,” each particle can perform only uniform volumetric oscillations (slightly expanding and contracting), but cannot move independently.

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In 1965, I. J. Good described for the first time the notion of “intelligence explosion”, as it relates to artificial intelligence (AI):

Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an “intelligence explosion,” and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.

Decades later, the concept of an “intelligence explosion” — leading to the sudden rise of “superintelligence” and the accidental end of the human race — has taken hold in the AI community. Famous business leaders are casting it as a major risk, greater than nuclear war or climate change. Average graduate students in machine learning are endorsing it. In a 2015 email survey targeting AI researchers, 29% of respondents answered that intelligence explosion was “likely” or “highly likely”. A further 21% considered it a serious possibility.

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Imagine a future where electronic text messaging is tracked by an intelligent algorithm that can identify truth from lies. A new study from two US researchers suggests this kind of online polygraph is entirely possible, with early experiments showing a machine learning algorithm can separate truth from lies based just on text cues over 85 percent of the time.

Last month, OpenAI announced a text generating A.I. so scarily accurate they claimed it would be dangerous to release it. Now researchers have developed a tool to help spot text written by bots. Here’s what it means for the future of fake news in an age of smart machines.

Three fundamental beliefs guide Stanford’s new Institute for Human-Centered Artificial Intelligence, co-directed by John Etchemendy and Fei-Fei Li : #AI technology should be inspired by human intelligence; the development of AI must be guided by its human impact; and applications of AI should enhance and augment humans, not replace them.

The new institute will focus on guiding artificial intelligence to benefit humanity.

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Another step towards organic ships?

Inspired by jellyfish, researchers have created an electronic skin that is transparent, stretchable, touch-sensitive, and repairs itself in both wet and dry conditions. The novel material has wide-ranging uses, from water-resistant touch screens to soft robots aimed at mimicking biological tissues.

CEO and founder of R2ai, Yiwen Huang, talks to Interesting Engineering in an exclusive interview about how he started a company where AI creates Machine Learning models and how AI is not going to replace but enhance humans’ jobs in the future.

R2ai’s Founder and CEO, Yiwen Huang, tells interesting Engineering in an interview how he goes from a lab to creating an AI that creates AI. And how AI is not going to replace but to augment jobs in the future.