As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...

Flipkart acquires majority stake in Bengaluru-based Minivet AI to enhance Generative AI capabilities, focusing on automated ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...

Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

Mindmachines.com has announced significant enhancements to its RoshiWave IN-SIGHT Mind Machine, incorporating advanced brainwave disentrainment technology designed to help users achieve deep ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...