As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Nguyen Huu Thien built on his passion for mathematics to become an associate professor of computer science in the U.S. and ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Bairong Inc. (the 'Company', 'we' , 'us' or 'our' ; HKEX: 6608), a leading cloud-based AI turnkey service provider, today unveiled its enterprise AI Agent strategy where it introduced its Results as a ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
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