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A team of researchers, led by Dr. Sofia Sheikh of the SETI Institute.

The SETI Institute (Search for Extraterrestrial Intelligence) is a private, nonprofit organization dedicated to scientific research, education, and public outreach founded in 1984. Located in Mountain View, California, the Institute’s primary mission is to explore, understand, and explain the origin and nature of life in the universe, with a particular focus on the search for intelligent life beyond Earth. Researchers at the SETI Institute use a variety of methods to detect signs of extraterrestrial civilizations, including monitoring electromagnetic signals for non-random patterns that may be transmitted by alien technologies.

Researchers have devised a method that bridges the gap between simulations and real-world dynamics, paving the way for faster innovation in energy-efficient computing.

Magnetic Whirls: The Future of Data Storage?

Skyrmions are tiny magnetic whirlpools, ranging from nanometers to micrometers in size, that behave like particles and can be easily controlled with electrical currents.

Scientists have unlocked the secret world of dark excitons — tiny energy carriers crucial for the future of solar power and LEDs.

Using an advanced microscopy technique, researchers have mapped their formation in unprecedented detail, opening new doors for improving energy efficiency in cutting-edge materials.

Tracking invisible energy carriers in next-gen technology.

OpenAI on Thursday said the U.S. National Laboratories will be using its latest artificial intelligence models for scientific research and nuclear weapons security.

Under the agreement, up to 15,000 scientists working at the National Laboratories may be able to access OpenAI’s reasoning-focused o1 series. OpenAI will also work with Microsoft, its lead investor, to deploy one of its models on Venado, the supercomputer at Los Alamos National Laboratory, according to a release. Venado is powered by technology from Nvidia and Hewlett-Packard Enterprise.

Constraining the origin of Earth’s building blocks requires knowledge of the chemical and isotopic characteristics of the source region(s) where these materials accreted. The siderophile elements Mo and Ru are well suited to investigating the mass-independent nucleosynthetic (i.e., “genetic”) signatures of material that contributed to the latter stages of Earth’s formation. Studies contrasting the Mo and Ru isotopic compositions of the bulk silicate Earth (BSE) to genetic signatures of meteorites, however, have reported conflicting estimates of the proportions of the non-carbonaceous type or NC (presumptive inner Solar System origin) and carbonaceous chondrite type or CC (presumptive outer Solar System origin) materials delivered to Earth during late-stage accretion (likely including the Moon-forming event and onwards).

Identifying driver regulators in cell stateions is key to decoding cellular function. Here, the authors present regX, an interpretable AI framework to prioritise potential driver TFs and cCREs from single-cell multiomics data, showing potential for understanding and manipulating cell states.