New AI detector spots small rogue drones in cluttered low-altitude skies
Researchers report a lightweight detection model that improves small-drone recognition in complex backgrounds while sustaining real-time speeds on edge hardware.
Researchers report a lightweight detection model that improves small-drone recognition in complex backgrounds while sustaining real-time speeds on edge hardware.
A newly published study describes a unified YOLOv11–EfficientViT neural network that jointly detects traffic lights and signs and recognizes traffic ...
A new cross-modal attention network combines match video, commentary audio, EEG and eye-tracking data to assess viewer immersion in VR ...
A LLaMA-CLIP cross-attention system improved multimodal matching, intention recognition and personalization in benchmark tests while recording batch-size-one inference latency of ...
A federated Decision Transformer reached 92.5% scheduling accuracy in a simulated industrial environment while reducing parameter transmission by 63% relative ...
A research team has enhanced YOLOv8-Pose with a StarNet backbone, motion-relevant attention, and a composite keypoint loss to jointly classify ...
Researchers at SLAC National Accelerator Laboratory have compressed a neural network by 98.8% and deployed it on an FPGA chip, ...
Researchers in India have built a privacy-preserving system that measures whole-classroom attentiveness in real time using facial emotion recognition running ...
Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running ...
A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine