New AI Model Spots Tiny Drones Hiding in Cluttered Skies
Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...
Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...
Researchers in China have developed RAUD-MAPPO, a role-aware and uncertainty-driven multi-agent reinforcement learning framework that raises win rates and enables ...
Researchers in India have unveiled a federated learning framework that combines reinforcement learning, tunicate swarm optimization, differential privacy and blockchain ...
A new graph-structured Transformer model trained with self-supervised learning and community-consensus pseudo-labeling achieves record F1-scores for detecting cryptocurrency money laundering ...
Researchers report an improved GLR parsing algorithm combined with Transformer-based pruning and word alignment that improves neural machine translation of ...
Researchers in Pune have developed a pose-enhanced generative adversarial network that translates Marathi text into fluent Indian Sign Language gloss ...
A multi-task deep learning framework can estimate more than a dozen crop photosynthetic traits simultaneously from hyperspectral images with record ...
Researchers have developed RL-Axial, a segmentation framework that uses reinforcement learning to decide for each image patch whether to apply ...
A new study tests a Transformer-based physics-informed neural network against support vector regression for forecasting hydrological drought in the transboundary ...
A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...
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© 2026 Scienmag - Science Magazine