Lifeboat Foundation

Seemingly spontaneously coordinated swarm behavior exhibited by large groups of animals is a fascinating and striking collective phenomenon. Experiments conducted by researchers at Leipzig University on laser-controlled synthetic microswimmers now show that supposed swarm intelligence can sometimes also be the result of simple and generic physical mechanisms.

A team of physicists led by Professor Frank Cichos and Professor Klaus Kroy found that swarms of synthetically produced Brownian microswimmers appear to spontaneously decide to orbit their target point instead of heading for it directly. They have just published their findings in the renowned journal Nature Communications.

“Scientific research on herd and flock behavior is usually based on field observations. In such cases, it is usually difficult to reliably record the internal states of the herd animals,” Kroy said. As a result, the interpretation of observations frequently relies on plausible assumptions as to which individual behavioral rules are necessary for the complex collective groups under observation.

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Lawrence Livermore National Laboratory’s decades of leadership in developing high-energy lasers is being tapped to provide a key component of a major upgrade to SLAC National Accelerator Laboratory’s Linac Coherent Light Source (LCLS).

Over the next several years, LLNL’s Advanced Photon Technologies (APT) program will design and construct one of the world’s most powerful petawatt (quadrillion-watt) laser systems for installation in an upgraded Matter in Extreme Conditions (MEC) experimental facility at LCLS, funded by the Department of Energy’s Office of Science-Fusion Energy Sciences program.

The new laser will pair with the LCLS X-ray free-electron laser (XFEL) to advance the understanding of high-energy density (HED) physics, plasma physics, fusion energy, laser-plasma interactions, astrophysics, planetary science and other physical phenomena.

Two and a half years ago, MIT entered into a research agreement with startup company Commonwealth Fusion Systems to develop a next-generation fusion research experiment, called SPARC, as a precursor to a practical, emissions-free power plant.

-Sept 2020

MIT researchers have published seven papers outlining details of the physics behind the ambitious SPARC fusion research experiment being developed by MIT and Commonwealth Fusion Systems.

An international team led by researchers at the Instituto de Astrofísica de Canarias (IAC), Spain, has found two planets with Earth-like masses in the habitable zone of a red dwarf star, just 16 light years from our own Solar System.

Artist’s impression of two Earth-mass planets orbiting the star GJ 1002. Credit: Alejandro Suárez Mascareño and Inés Bonet (IAC)

“Nature seems bent on showing us that Earth-like planets are very common,” explains Alejandro Suárez Mascareño, an IAC researcher, first author of a study that appears in Astronomy & Astrophysics. “With these two, we now know seven in planetary systems quite near to the Sun.”

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In November 2018, three physicists from the Perimeter Institute for Theoretical Physics in Waterloo, Canada, offered an unusual idea: from the Big Bang not only the Universe we know but also ‘its mirror image’ created.

Twin spiral galaxies and stars in space. NASA provided picture elements. A universe that extends backward in time. From our perspective, the Universe “after the Big Bang” moves… backwards.

The physicists Latham Boyle, Keran Finn, and Neil Turok suggested in a Physical Review Letters article that the Universe we live in is merely a fragment of the true Universe and that if so, dark matter and inflation would no longer make sense.

The first important generative models for images used an approach to artificial intelligence called a neural network — a program composed of many layers of computational units called artificial neurons. But even as the quality of their images got better, the models proved unreliable and hard to train. Meanwhile, a powerful generative model — created by a postdoctoral researcher with a passion for physics — lay dormant, until two graduate students made technical breakthroughs that brought the beast to life.

DALL·E 2 is such a beast. The key insight that makes DALL·E 2’s images possible — as well as those of its competitors Stable Diffusion and Imagen — comes from the world of physics. The system that underpins them, known as a diffusion model, is heavily inspired by nonequilibrium thermodynamics, which governs phenomena like the spread of fluids and gases. “There are a lot of techniques that were initially invented by physicists and now are very important in machine learning,” said Yang Song, a machine learning researcher at OpenAI.

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What is the Drake Equation? We are talking about The Odds of ALIEN LIFE.
Is there life out there in the Universe?
How are the chances to find Extraterrestrial life?

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