Winning at Rock-Paper-Scissors Reveals How Context Trumps Body Language
A motion-capture study of rock-paper-scissors shows that in fast-paced competition, contextual inference based on reinforcement learning outperforms reading an opponent's ...
A motion-capture study of rock-paper-scissors shows that in fast-paced competition, contextual inference based on reinforcement learning outperforms reading an opponent's ...
Researchers at Institute of Science Tokyo and Cygames have developed the Motion Style Slider, an AI framework that lets animators ...
Researchers have developed a cable-driven skating training robot controlled by a novel fractional-order active disturbance rejection strategy that significantly reduces ...
Researchers have built a self-healing, skin-inspired MXene-polyurethane flexible sensor that, paired with deep learning, can recognize handwritten digits and classify ...
An open-source Python package called BatPose reconstructs metric 3D human pose and joint-angle statistics from two synchronized cameras on an ...
Researchers have unveiled VRrec, a free open-source Windows application that captures head, hand, and body motion from any PC-based VR ...
Researchers have developed AGSL-Gait, a framework that learns adaptive graph structures from skeletal walking data to capture fine-grained joint dependencies, ...
A variational autoencoder trained only on healthy motion capture data can distinguish sex, speed and gait type while generating realistic ...
Slovak researchers compared AI-powered skeleton tracking with manual ergonomics software on identical workshop video and found the automated system systematically ...
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© 2025 Scienmag - Science Magazine