India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...