Researchers demonstrated the use of computer-vision models to monitor turbulent structures that appear in plasma created in controlled-nuclear-fusion research. They created a synthetic dataset to ...
Southern California Edison’s service area contains over 1.4 million power poles, some of which are decades old. Monitoring these assets and their conditions has been challenging. Although utilities ...
Machine learning (ML) has revolutionized robotics by enhancing perception, adaptability, decision-making and more, enabling robots to work in complex scenarios beyond the capabilities of traditional ...
Blood samples of patients infected with a parasitic worm that causes schistosomiasis contain hidden information that marks different stages of the disease. In our recently published research, our team ...
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Tracking your EV, solar, and energy use with machine learning - Sense smart home interview
Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview ...
A Chinese-owned beef processor banned from China for labelling issues is using machine learning and tracking technology to remove human error. The tracking system ...
The study of complex behaviors is often challenging when using manual annotation due to the absence of quantifiable behavioral definitions and the subjective nature of behavioral annotation.
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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