In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
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 ...
By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at ...
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