Researchers at National Taiwan University have proposed a novel method to predict the onset of lithium metal formation—an ...
Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, called deep learning, forms part of AlphaFold, a Nobel Prize–winning tool for ...
Opening CES 2026 in Las Vegas, Jensen Huang, CEO & Founder, NVIDIA launched the company’s first extreme-codesigned AI ...
At CES 2026, the big maker of mobile chips teased details—and some benchmarks—for its new mainstream Snapdragon processor ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...
Researchers at the University of Waterloo in Ontario, Canada, have developed a new method of analyzing social media posts to help identify growing vaccine skepticism. Vaccines have been under fire in ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
Abstract: The growing interest in electric vehicles, driven by the climate crisis, has underscored the potential of battery-swapping electric two-wheeled vehicles (BSE2WVs) in overcoming the ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
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