For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

AI's revolutionary potential in higher education is examined in this proposal, including how it could revolutionize teaching, learning, administration, and research. Adaptive learning platforms, ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

A response to recent largesse of large language modeling material. Reading the Communications March 2025 issue, it struck me ...

Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn the optimal ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...