AI Learns to Check Its Own X-Ray Reports by Searching Past Cases Before Writing
Researchers have built a modular AI framework that improves automated chest X-ray report generation by retrieving similar past cases at ...
Researchers have built a modular AI framework that improves automated chest X-ray report generation by retrieving similar past cases at ...
A new review maps how advances in computer vision, vision language models and reinforcement learning could enable collaborative robots to ...
Plant pathologists have long faced a stubborn diagnostic problem: a single leaf can carry several diseases at once, each with ...
A German study comparing vision and memory in conversational Pepper robots finds that seeing enhances perceived social presence, while remembering ...
A unified neural architecture now generates English image captions and translates them into five languages in a single end-to-end model, ...
Researchers developed Found-RL, an open-source platform that lets vision-language models mentor lightweight reinforcement learning agents asynchronously, producing compact autonomous driving ...
University of Queensland researchers have created PlantMicro, a benchmarking dataset showing that vision language models perform at barely above random ...
Researchers have unveiled OATA, a test-time adaptation framework that lets traffic-sign image-text matching models recover from rain, fog, glare and ...
Researchers have developed KARAMEL, a knowledge-aware framework that fuses vision-language encoding with heterogeneous graph neural networks to link artworks to ...
A new 200,000-question benchmark from Carnegie Mellon University reveals that leading vision-language models perform at random chance when interpreting engineering ...
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© 2025 Scienmag - Science Magazine