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An exploration of the option of moving planets through gravitational migration and the idea of Earth getting ejected from the solar system and wander the galaxy as a rogue planet, perhaps to be captured by another star in the far future.

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When the MIT Lincoln Laboratory Supercomputing Center (LLSC) unveiled its TX-GAIA supercomputer in 2019, it provided the MIT community a powerful new resource for applying artificial intelligence to their research. Anyone at MIT can submit a job to the system, which churns through trillions of operations per second to train models for diverse applications, such as spotting tumors in medical images, discovering new drugs, or modeling climate effects. But with this great power comes the great responsibility of managing and operating it in a sustainable manner—and the team is looking for ways to improve.

“We have these powerful computational tools that let researchers build intricate models to solve problems, but they can essentially be used as black boxes. What gets lost in there is whether we are actually using the hardware as effectively as we can,” says Siddharth Samsi, a research scientist in the LLSC.

To gain insight into this challenge, the LLSC has been collecting detailed data on TX-GAIA usage over the past year. More than a million user jobs later, the team has released the dataset open source to the computing community.

A radical new idea for offshore wind turbines would replace tall unwieldy towers that had blades on top with lightweight, towerless machines whose blades resemble the loops of a whisk. Now new software can help optimize these unusual designs to help make them a reality, researchers say.

This new work comes as the U.S. government plans to boost offshore wind energy. In March, the White House announced a national goal to deploy 30 gigawatts of new offshore wind power by 2030. The federal government suggested this initiative could help power more than 10 million homes, support roughly 77,000 jobs, cut 78 million tonnes in carbon emissions, and spur US $12 billion in private investment per year. As part of this new plan, in June, the White House and eleven governors from along the East Coast launched a Federal-State Offshore Wind Implementation Partnership to further develop the offshore wind supply chain, including manufacturing facilities and port capabilities.

One reason offshore wind is attractive is the high demand for electricity on the coasts. People often live far away from where onshore wind is the strongest, and there is not enough space in cities for enough solar panels to power them, says Ryan Coe, a mechanical engineer in Sandia National Laboratories’ water-power group in Albuquerque.

Diseases such as Alzheimer’s and epilepsy will be easier to detect.

A 3D microchip made by a Swiss company will allow scientists to study the complexity of 3D cellular networks. This 3D chip will help to observe complex structures such as the human brain, according to a report published by Labiotech.eu.

Understanding how organs form and how their cells behave is essential to finding the causes and treatment for developmental disorders, as well as understanding certain diseases, said 3Brain.


A microchip that allows scientists to study the complexity of 3D cellular networks at unrivaled scale and precision has been added to 3Brain AG’s brain-on-chip portfolio.

“These results will have future implications in forensic medicine and genetic diagnosis.”

In 1999, François Brunelle, a Canadian artist, and photographer, began documenting look-alikes in a picture series “I’m not a look-alike!”

The project, undoubtedly, was a massive hit on social media and other parts of the internet, but it also drew the attention of scientists who study genetic relationships.