Robots and AI are running experiments around the clock, from battery chemistry to cancer therapies. But can they be trusted ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

The present work introduces a novel approach to integrating graphical and animation components with a predictive analytics model for developing a web-based virtual laboratory application in ...

In late 2023, a robotic laboratory at Lawrence Berkeley National Laboratory ran nonstop for 17 days without a single human touching a beaker. Mechanical arms weighed powders, loaded furnaces, and ...

Across scientific disciplines, large language models (LLMs) are being used to solve various research problems. At Carnegie Mellon University, scientists have used LLMs to create an intelligent lab ...

Lawrence Livermore National Laboratories Director Dr. Kim Budil speaks during a news conference with fellow administrators and scientists at the Department of Energy headquarters to announce a ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

In recent years, there has been a growing interest in utilizing machine learning (ML) to investigate the predictability of shear-slip failures, known as laboratory quakes, in centimeter-scale ...

A researcher conducts a herbal extraction experiment at a lab of the National Modern TCM Innovation Center in Tianjin on June ...

Alchemite ™ advanced machine learning was used by Domino Printing Sciences to leverage historical data and obtain several novel ink formulations, a number of which were later validated via physical ...