Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Generative AI can augment chemometrics by automating curation, connecting analytical outputs to textual knowledge, and ...

Discover how thoughtful design can revolutionize AI systems. Learn more about the future of AI at MLDS 2026. Read now!

Researchers developed AI tools that designed drug molecules while accounting for protein movement during binding. The tools ...

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...