Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...
The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...
On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...
Discover how a new AI-based method can identify aspens and standing dead trees from aerial images, providing a map of forest ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...
Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...
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