Researchers have developed an AI training method that enables robots to transfer skills learned in simulation into real-world ...

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...

AI is helping scientists make sense of messy dinosaur footprints, offering new clues about how dinosaurs moved and when birds ...

SenseTime's SenseNova team released U1 on April 28, 2026 - a family of multimodal models built on a rethought architecture ...

SenseNova U1's NEO-Unify architecture removes VAEs entirely, natively unifying image understanding and generation in a fully ...

Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...

A physics-constrained AI model called VLSet-AE automates feature extraction from DRIE cross-sections with 96 percent accuracy, replacing slow manual SEM analysis in MEMS fabrication.

Latent diffusion models have established a new state-of-the-art in high-resolution visual generation. Integrating Vision Foundation Model priors improves generative efficiency, yet existing latent ...

Insomnia disorder (ID) is neurobiologically heterogeneous and often eludes characterization by traditional group-level neuroimaging. Subtyping based on neuroimaging and clinical data offers a ...

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...

Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...