New spin on speculative decoding works with any model - now built into Transformers We all know that AI is expensive, but a new set of algorithms developed by researchers at the Weizmann Institute of ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Matlantis Inc., the U.S. hub of the materials-discovery arm of Japan’s leading AI company Preferred Networks, Inc. (PFN), today announced a major update to its Matlantis™ universal atomistic simulator ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance. This week, at the International ...

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 ...

Ioffe, S. and Szegedy, C. (2015) Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift. Proceedings of the 32nd International Conference on Machine Learning, ...