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India Emerges as a Global Leader in Machine Learning–Enabled Scientific Research, New Report Finds
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 ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
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 ...
LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The ...
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 ...
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