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A susceptibility to gain weight may be written into molecular processes of human cells, a Washington State University study indicates.

The proof-of-concept study with a set of 22 twins found an epigenetic signature in buccal or cheek cells appearing only for the twins who were obese compared to their thinner siblings. With more research, the findings could lead to a simple cheek swab test for an obesity biomarker and enable earlier prevention methods for a condition that effects 50% of U.S. adults, the researchers said.

“Obesity appears to be more complex than simple consumption of food. Our work indicates there’s a susceptibility for this disease and molecular markers that are changing for it,” said Michael Skinner, a WSU professor of biology and corresponding author of the study published in the journal Epigenetics.

The team’s research, including their code, data, and models, is now publicly available on GitHub. This open-source approach encourages the broader AI community to continue this line of exploration, potentially leading to further advancements in machine learning.

The advent of LeMa represents a major milestone in AI, suggesting that machines’ learning (ML) processes can be made more akin to human learning. This development could revolutionize sectors heavily reliant on AI, such as healthcare, finance, and autonomous vehicles, where error correction and continuous learning are critical.

As the AI field continues to evolve rapidly, the integration of human-like learning processes, such as learning from mistakes, appears to be an essential factor in developing more efficient and effective AI systems.

Turn your key, Sir.

NAVY FINDS PERFECT WINGMAN FOR CARRIER PILOTS – AI

However, the most intriguing question is: How much could AI be involved in a tactical nuclear weapons launch decision?

Continue reading “Artificial intelligence and US nuclear weapons decisions: How big a role?” »

High-dimensional spheres can have a much wider variety of structures than mathematicians thought possible.

Eric Schmidt is funding a nonprofit that’s focused on building an artificial intelligence-powered assistant for the laboratory, with the lofty goal of overhauling the scientific research process, according to interviews with the former Google CEO and officials at the new venture.

The nonprofit, Future House, plans to develop AI tools that can analyze and summarize research papers as well as respond to scientific questions using large language models — the same technology that supports popular AI chatbots. But Future House also intends to go a step further.

The “AI scientist,” as Future House refers to it, will one day be able to sift through thousands of scientific papers and independently compose hypotheses at greater speed and scale than humans, CEO Sam Rodriques said on the latest episode of the Bloomberg Originals series AI IRL.

A team of researchers led by the University of Cambridge has developed a new technique that uses high-energy lasers to fine tune the properties of 3D-printed metal without compromising the complex shapes it forms.

Additive or 3D printing is proving an increasingly powerful tool for engineering and manufacturing, but it’s far from a panacea. In fact, it often has some major drawbacks that require new approaches to overcome.

3D printing metal usually involves a machine that lays down thin layers of metal alloy in the form of a fine powder. This layer is then melted or sintered using a laser or electron beam guided by a digital model, then another layer is added. When the printing is complete, the excess powder is swept away, revealing the final product.

Atomic oxygen is important for the photochemistry and energy balance of Venus’s atmosphere, but it was not directly observed on the dayside of Venus. Here, the authors show direct detection of atomic oxygen on the both dayside and nightside of Venus by measuring its ground-state transition at 4.74 THz.

LIVERMORE, Calif. — Blueshift Optics, owned by former Sandia employee Joey Carlson, is working to shift the way radioactive materials are detected, using technology that he helped create at Sandia National Laboratories.

Radiation detection has long been a critical aspect of national security and efforts to make the world safer.

“Agencies are trying to cast this wide net to catch nuclear smuggling, and this is one aspect of that effort,” said Sandia materials scientist Patrick Feng. “You could use this technology at a border crossing, in a handheld detector as someone enters a facility or fly it on a drone to map an area.”

Building a robot that’s both human-like and useful is a decades-old engineering dream inspired by popular science fiction. While the latest artificial intelligence craze has sparked another wave of investments in the quest to build a humanoid, most of the current prototypes are clumsy and impractical, looking better in staged performances than in real life. That hasn’t stopped a handful of startups from keeping at it. The intention is not to…