BearID uses deep learning, a subset of machine learning that makes use of artificial neural networks, to analyze images and ...

Human neurophysiology encompasses the intricate study of brain activity, cognition, and behavior. Recent advancements in neuroimaging and recording techniques, such as EEG, fNIRS, fMRI, and MEG, ...

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For more than a century, fossils meant bones, shells and the occasional imprint of a leaf. Now, a wave of research is showing ...

PITTSBURGH--(BUSINESS WIRE)--Carnegie Learning, a global leader in AI-driven technology, curriculum, and professional learning solutions for K-12 education, announced today that MATHia and Patterns ...

Abstract: During muscle contractions, force distributions are generated on muscle surfaces due to muscle activity, which is applicable for control in a Human-Machine Interface. It has been proven that ...

Autumn Gardiner thought updating her driving license would be straightforward. After getting married last year, she headed to the local Department of Motor Vehicles office in Connecticut to get her ...

Abstract: A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the ...

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...

Summary: A new puzzle-based game helps children recognize where artificial intelligence still struggles. The game features ARC tasks—visual logic puzzles that are easy for humans but hard for AI—and ...