Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

A threefold hippocampal code across conceptual directions, phase-locked to entorhinal grid activity, reveals a periodic mechanism through which entorhinal grids structure hippocampal vector ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...