CERN is nothing like today's agentic AI jockeys, who mostly rely on pre-set weights and generic TPUs and GPUs to generate ...

A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers should consider incorporating physical forces now missing from even ...

The rapid adoption of artificial intelligence (AI) in financial trading is transforming how investment strategies are ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...