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 ...
EurekAlert!

Unlocking carbon sequestration in mango orchards with machine learning

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...
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 ...
The Tartan

CMU physicist challenges what we know about particle physics with machine learning

By Mackenzie Devereux The Standard Model, depicting the fundamental building blocks of the universe, including top quarks. Courtesy of Cush via Wikimedia Commons Sitong An, a physicist at Carnegie ...
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 ...
Forbes

Embracing Data-Driven AI And Machine Learning For Efficiency

Based on the headlines these days, it is obvious to see the rapidly emerging role that AI and machine learning play in nearly every facet of our lives. The evolution of ChatGPT has made AI a household ...