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 ...

Faculty and students from the Department of Mathematical Sciences recently represented the U of A at two regional conferences focused on mathematics and mathematics education, highlighting innovative ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

Understanding the Impact of Gemini Robotics ER-1.6 on Robotic Reasoning The rapid evolution of robotic systems hinges on one ...

As the “Method of the Year 2024”, spatial proteomics (SP) enables in situ characterization of protein localization, abundance ...