A Peking University research team led by Wang Heyuan and Wang Kai at the Institute for Carbon Neutrality (ICN) used AI models ...

Faster, more extreme and nicer inside—the new top-spec Model Y is fun, but the competition is moving even more quickly.

The field of fish conservation is grappling with the complex challenges posed by human-modified landscapes. As habitats undergo rapid transformation due to ...

Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...

The study by researchers from Qingdao University of Technology and the Shandong Engineering Research Center of City Information Modeling introduces the URCA model, a dynamic system for evaluating how ...

Flipster is redefining crypto trading by combining speed, deep liquidity, and AI-driven tools to give traders more ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

One CX-50 owner drove the new 2026 model and found that the incremental cost of the upgrade isn't worth it, despite a massive ...

Abstract: This paper studies a hierarchical distributed model-free adaptive control issue for heterogeneous multiple high-speed trains with random deception attacks. By employing the dynamic ...

Abstract: Deploying large, pretrained models on resource limited devices remains a fundamental challenge in machine learning. While model merging and low-rank compression represent two common options, ...

For users relying on centimeter-level accuracy — such as surveyors, engineers and autonomous systems — ionospheric disturbances can mean system downtime and ...