Lifeboat Foundation

Batatia and colleagues introduce a computational framework that combines message-passing networks with the atomic cluster expansion architecture and incorporates a many-body description of the geometry of molecular structures. The resulting models are interpretable and accurate.

The Full Self-Driving version 13.2.2 successfully navigates challenging snowy Canadian roads with impressive performance and minimal driver intervention ## Advanced Navigation in Challenging Conditions.

🚗13.2.2 successfully navigated snowy, slippery roads in Canada without interventions, handling obscured lane lines, vehicles, and signs even when the roadway was difficult to discern.

Continue reading “Testing FSD 13.2.2 on very snowy roads in Canada!” »

Good readers exhibit distinct brain traits, including a larger left anterior temporal lobe and thicker left Heschl’s gyrus, supporting phonological and meaning processing. Reading reshapes these areas, highlighting the brain’s adaptability and the importance of literacy.

Scientists at Caltech and Princeton University have discovered that bacterial cells growing in a solution of polymers, such as mucus, form long cables that buckle and twist on each other, building a kind of “living Jell-O.”

The finding could be particularly important to the study and treatment of diseases such as cystic fibrosis, in which the mucus that lines the lungs becomes more concentrated, often causing bacterial infections that take hold in that mucus to become life threatening. This discovery could also have implications in studies of polymer-secreting conglomerations of bacteria known as biofilms—the slippery goo on river rocks, for example—and in industrial applications where they can cause equipment malfunctions and health hazards.

The work is described in a paper published on January 17 in the journal Science Advances.

7,500 milliamp-hours, Xiaomi? That would be impressive.

LG plans to launch its brightest-ever OLED screen later this year. A new internal structure enables the fourth-gen panel to achieve a maximum brightness of 4,000 nits – about 30 percent higher than the previous generation.

OpenAI says it trained a new AI model called GPT-4b micro with Retro Biosciences, a longevity science startup trying to extend the human lifespan by 10 years, according to the MIT Technology Review.

Retro, which is backed by Sam Altman, has been working with OpenAI for roughly a year on this research, according to the report. The GPT-4b micro model tries to re-engineer proteins — a specific set called the Yamanaka factors — that can turn human skin cells into young-seeming stem cells. Retro believes these proteins are a promising step toward building human organs and providing supplies of replacement cells.

The model differs slightly from Google’s Nobel prize-winning AlphaFold, which predicts the shape of proteins, but it appears to be OpenAI’s first model that is custom-built for biological research. OpenAI and Retro tell the MIT Technology Review they plan to release research on the model and its outputs.

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial intelligence learns and evolves.

New research into the single-celled organism is providing clues about what the early planet looked like – and raising the prospect that we may not be alone.