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

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

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

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

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

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 ...

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 ...

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

By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at ...

PRESSADVANTAGE – netpulse AG, a Swiss digital marketing agency, has expanded its artificial intelligence capabilities to ...