Machine learning made news in 1962 when an IBM computer beat a human in checkers. This event embodied the very definition of machine learning, as the computer was able to learn without explicitly ...

Scientists have begun applying machine learning tools to nuclear physics challenges. In the past few years, a flurry of machine learning projects has come online in nuclear physics, and researchers ...

Argonne’s machine learning model is equipped to analyze data from 31 sensors at its Mechanisms Engineering Test Loop (METL) facility, measuring variables like fluid temperatures, pressures and flow ...

In context: While the entire technology world is focused on generative AI and its alleged capabilities to destroy the economy and the job market, researchers are employing neural networks to tackle ...

Please see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & Innovation Office (RIO). The DOE SC program in Nuclear Physics ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output adjustments, according to a study led by University of Michigan researchers, ...

The U.S. Department of Energy (DoE) has announced $16 million for fifteen projects that will implement artificial intelligence (AI) and machine learning (ML) methods to accelerate scientific discovery ...

Every year, companies and space agencies launch hundreds of rockets into space—and that number is set to grow dramatically with ambitious missions to the moon, Mars and beyond. But these dreams hinge ...