Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S.
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
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 ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
1 Department Health informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia 2 Department of Community Health Nursing, School of Nursing ...
Abstract: In the rapidly evolving field of radio frequency (RF) engineering, precise antenna alignment remains a critical challenge, directly influencing communication performance and reliability.
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