AI Learns to Rank City Emergencies Without Any Labels, New Study Shows
Researchers in China have developed a self-supervised graph neural network that classifies the urgency of urban patrol cases without any ...
Researchers in China have developed a self-supervised graph neural network that classifies the urgency of urban patrol cases without any ...
New research in Economic Inquiry finds that the staggered US rollout of ridesharing services was associated with reductions in violent ...
Researchers have developed a cross-temporal attention network that fuses short-term motion and long-term behavioral cues to recognize gun threats, aggression, ...
A new stem-encoder-decoder neural network runs crowd counting at up to 381.7 frames per second on desktop GPUs and 71.9 ...
Sleepiness while driving is a critical factor contributing to numerous road accidents, a risk that becomes particularly pronounced for individuals ...
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© 2025 Scienmag - Science Magazine