Lifeboat Foundation

But will the bureaucracy get out of its own way?

‘Is AI Extending the Mind?’ is the second annual workshop by Cross Labs, this year held virtually from April 11 – 15, 2022.This workshop expands on our previ…

Over 50 percent of high-mass stars reside in multiple star systems. But due to their complex orbital interactions, physicists have a difficult time understanding just how stable and long-lived these systems are. Recently a team of astronomers applied machine learning techniques to simulations of multiple star systems and found a new way that stars in such systems can arrange themselves.

Classical mechanics has a notorious problem known as the three-body problem. While Newton’s laws of gravity can easily handle calculations of the forces between two objects and their subsequent evolution, there is no known analytic solution when you include a third massive object. In response to that problem, physicists over the centuries have developed various approximation schemes to study these kinds of systems, concluding that the vast majority of possible three-object arrangements are unstable.

But it turns out that there are a lot of multiple-star systems out there in the galaxy. Indeed, over half of all massive stars belong to at least a binary pair, and many of them belong to triple or quadruple star systems. Obviously, the systems last a long time. Otherwise, they would have flung themselves apart a long time ago before we had a chance to observe them. But because of the limitations of our tools, we have difficulty assessing how these systems organize themselves and what stable orbit options exist.

An international team led by researchers from Nanyang Technological University, Singapore (NTU Singapore) has developed a universal connector to assemble stretchable devices simply and quickly, in a “Lego-like” manner.

Stretchable devices including soft robots and wearable health care devices are assembled using several different modules with different material characteristics—some soft, some rigid, and some encapsulated.

However, the commercial pastes (glue), currently used to connect the modules often either fail to transmit mechanical and electrical signals reliably when deformed or break easily.

After beating humans in video games, AI is now taking on game design.

GitHub has updated the AI model of Copilot, a programming assistant that generates real-time source code and function recommendations in Visual Studio, and says it’s now safer and more powerful.

The company says the new AI model, which will be rolled out to users this week, offers better quality suggestions in a shorter time, further improving the efficiency of software developers using it by increasing the acceptance rate.

CoPilot will introduce a new paradigm called “Fill-In-the-Middle,” which uses a library of known code suffixes and leaves a gap for the AI tool to fill, achieving better relevance and coherence with the rest of the project’s code.

NASA has turned to AI to help them develop, and build, more robust, lightweight components for its spacecraft of the future.

NASA’s Goddard Space Flight Center in Maryland has been using commercially available AI software to design specialized, bespoke parts, called “evolved structures,” for its missions. They also look a little “out of this world.”

Continue reading “‘They look alien’: NASA uses AI to design complex spacecraft parts” »

A robot named Icefin operated on previously impossible survey areas of the Thwaites Glacier.

Rob Robbins, USAP Driver.

Continue reading “Robot deployed underneath ‘Doomsday Glacier’ delivers surprising views” »

Ex-CEO of Google, Eric Schmidt, advocated for implementing AI for the U.S. military use to compete against China and other rivals.

Former Google CEO Eric Schmidt has advocated for the military use of artificial intelligence (AI) to build a more robust and adaptable defense system for the United States against China and other rivals.

“Every once in a while, a new weapon, a new technology comes along that changes things,” he told Wired.

Continue reading “Ex-Google CEO says AI as revolutionary for warfare as nuclear weapons” »