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 ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

Narsing Rao Dyavani's journey is not one of simply writing code, but of reimagining the very foundations of our digital world ...

Narsing Rao Dyavani's journey is not one of simply writing code, but of reimagining the very foundations of our digital world ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

December 10, 2025 • Anthony Nel, of Texas, became a U.S. citizen as a teen. But a flaw in a Trump administration citizenship tool flagged him as a potential noncitizen, which led to his voter ...