In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
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.
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 ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at scale.
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...
It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...
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