In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...
Jorge Nocedal can’t stop thinking about optimization. Even when gazing at Lake Michigan or lying in bed, he constantly imagines new approaches to new problems in new areas, like deep learning. “I ...
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 ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
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