As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
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 ...
Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...
Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...
TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...
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