As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
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 ...
As AI automates the work that once trained junior lawyers, firms must rethink how capability is built. New simulation-led and ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
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