Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
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 ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that threaten both lives and critical infrastructure. In 2022, a slope failure ...
The instrument uses randomly textured lithium niobate and its developers have used it for astronomical imaging and materials ...
An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...