Royal Society of Chemistry

Cheminformatics, Automation and Machine Learning in Chemistry: from fundamental concepts to emerging techniques

The second edition of the "Cheminformatics, Automation and Machine Learning in Chemistry: from fundamental concepts to emerging techniques" (or CAMLC for short) micro-credential aims to introduce ...
Drexel University

AI, Machine Learning & Robotics Research

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...
CNN

‘Godfather of AI’ shares Nobel Prize in physics for work on machine learning

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is used ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Semiconductor Engineering

Applying Machine Learning To Accelerate TCAD Calibration

TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...