Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...
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 ...
When most people think of artificial intelligence, they picture self-driving cars or chatbots. But for Fatima Rilwan Ododo, a ...
Morning Overview on MSN
AI and EV booms push the US toward a power shortage
The United States is racing to electrify transportation and build out artificial intelligence, but the power system that is ...
In this April 2017 guide, The Royal Society provides a current-day assessment of the discipline of machine learning. 6 chapters, 128 pages. Machine learning is a branch of artificial intelligence that ...
Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...
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