Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Kirk Sigmon and Hengyi Jiang of Banner & Witcoff Ltd. examine recent policy shifts in both China and the U.S. that signal a ...

Learn best practices for structuring machine learning projects to ensure smooth deployment and maintainable code. This guide ...

A black box model refers to the level of transparency involved with a very complex computer algorithm. Read on to learn more ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

"Early warning of extremely hot summers could help society prepare to mitigate against economic losses and reduce risk to life," McAdam explains. "Seasonal forecasts made in spring can, in principle, ...

A new computer model developed at the University of Liverpool can combine sight and sound in a way that closely resembles how ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...

Explore the innovative X0 prototype chip and Z1 processor, designed to save energy while advancing machine learning capabilities.

How “agreeable AI” is slowly rewiring how we think, relate, and decide. Picture this: you’re stressed, unsure, debating ...

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has ...