Machine Learning Meets Quantum Physics to Sharpen Lithium-Ion Battery Models
Researchers have combined quantum-mechanical simulations, neural networks, and Bayesian statistics to cut the voltage prediction error of a physics-based lithium-ion ...
Researchers have combined quantum-mechanical simulations, neural networks, and Bayesian statistics to cut the voltage prediction error of a physics-based lithium-ion ...
A new label-scarce graph AI framework reliably detects deep, subtle mineralization anomalies at the Kalatongke copper-nickel deposit using only 906 ...
A locked uncertainty-aware AI triage model safely automated about 37 percent of cervical lymph node ultrasound cases while deferring the ...
Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...
A sweeping new survey in Artificial Intelligence Review maps the AI architectures transforming weather and climate prediction while exposing evaluation ...
A Nature Machine Intelligence perspective argues that large language models can serve as optimizers for experimental discovery, but only if ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine