More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Graduate medical education and other teaching programs within academic teaching hospitals across the U.S. have not yet come to grips with educating students and trainees on the emerging technology of ...

On Thursday, Oct. 16, Santa Clara University will serve as host of the 14th annual Bay Area Machine Learning Symposium, an event dedicated to exchanging ideas and sharing new research in machine ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.