A research team from three leading institutions has proven something nobody expected: when learning a prior across many tasks using the Gibbs algorithm, fast convergence rates are always guaranteed at the meta level — even when individual tasks refuse to…
Bayes Meets Bernstein: Why Meta-Learning Finally Gets Fast — A PAC-Bayes Breakthrough Read More »
Researchers at Technische Universität Berlin and Qingdao University of Technology achieved 73.68% construction activity recognition accuracy using pure prompting — no labeled training data, no fine-tuning, just a domain ontology, structured visual extraction, and carefully engineered in-context examples.
Imagine a technology that can see through clouds, darkness, and adverse weather conditions to identify vehicles, ships, and aircraft with remarkable precision. This is the power of Synthetic Aperture Radar (SAR), and now, researchers have developed SARATR-X—the first foundation model…