A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...
Researchers at the School of Engineering and Applied Sciences have developed a wearable sensor system capable of estimating ...
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DeepMind introduces AI agent that learns to complete various tasks in a scalable world model
Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...
By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
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AI model identifies high-performing battery electrolytes by starting from just 58 data points
In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...
The AI in two pilots aimed at replacing junior roles is described as being ‘not an AI model that chats, but one that ...
CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Embark Studios CEO and former EA guy Patrick Söderlund has been chatting about the controversial usage of generative AI and ...
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