Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...
A new tool to model peripheral nerve stimulation rapidly discovered optimal electrical waveforms (white traces) which, when delivered through the metal contacts of a cuff electrode placed on the vagus ...
AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...
EIT, while having the benefits of being low cost and lighter, has some inherent inaccuracies. The proposed method improves the resolution of reconstructed images and can promote the application of EIT ...
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Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
A multi-institution team led by Professor Seda Ogrenci received a Phase 2 NSF Pathways to Enable Open-Source Ecosystems award A Python package called hls4ml enables more efficient prototyping of ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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