Duncan Watson-Parris is an atmospheric physicist with appointments at UC San Diego’s Scripps Institution of Oceanography and ...

In developing drugs using a platform that joins physics with machine learning, Schrödinger sees more than a passing resemblance to the studio whose Toy Story and other computer-generated movies ...

A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...

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 ...

Absentia Technologies, an innovator in advanced AI vision systems, announces its official launch, poised to revolutionize how defense, security, and commercial sectors perceive and analyze visual data ...

An overview will be given of the role of artificial intelligence (AI) in automatic delineation (contouring) of organs in preclinical cancer research models. It will be shown how AI can increase ...

Taken from the May 2021 issue of Physics World where it first appeared under the headline "Biophysics for personalized medicine". Nabiha Saklayen is co-founder and chief executive of US start-up ...

In 2018, climate simulations were the third-largest use of computing cycles at a leading U.S. supercomputing cluster. The study of quarks and other subatomic particles came in second. Topping the list ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

A schematic illustrating how a neural network is used to match data from scanning tunneling microscopy to a theoretical hypothesis. Credit: Cornell University Understanding electrons' intricate ...