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 ...
2UrbanGirls on MSN
Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), officially launches HOOPS AI, the first framework purpose-built to unlock AI and machine learning for CAD ...
Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback