Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

New spin on speculative decoding works with any model - now built into Transformers We all know that AI is expensive, but a ...

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 ...

Optimizing machine learning (ML) model performance relies heavily on appropriate data preprocessing techniques. Despite the widespread use of standardization and normalization, empirical comparisons ...

Trends in machine learning development increasingly indicate that the main limitations of a model are the availability of labeled and the high quality data for model training. On the other hand, for ...

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 ...