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 ...

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, ...

In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...

There are over 100 invasive plant species wreaking havoc on the state’s forests and waterways, but new technology may help ...

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 ...

Opting out will stop LinkedIn from using data collected after the change takes effect, but any information gathered before ...

Embark Studios CEO and former EA guy Patrick Söderlund has been chatting about the controversial usage of generative AI and ...