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

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

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

The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...

Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...

CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...