Add Yahoo as a preferred source to see more of our stories on Google. Valerie Veatch’s documentary asks tough questions about artificial intelligence, such as “Is the technology rooted in eugenics?” ...

Abstract: This work investigates the thermal conductivity and elastic moduli of silicon nanosheets of varying thicknesses using machine learning interatomic potentials (MLIPs). The training dataset ...

Tristan Maxson had an intriguing question: Could a high-performance machine learning model trained only on the physics of liquid water also accurately simulate water’s ice and gas phases? The authors ...

ilearn is a benchmark suite for interatomic potentials in materials science, with a focus on radiation damage research. It provides tools to evaluate the performance of interatomic potentials based on ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Machine learning interatomic potentials (MLIPs) have been widely used to facilitate large-scale molecular simulations with accuracy comparable to ab initio methods. In practice, MLIP-based molecular ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Assistant Professor of Biomolecular Engineering Tal Sharf holds up a specialized chip for recording electrical activity in brain organoids. Artificial intelligence (AI) has proven its incredible ...