Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic Models
In smart grid, data-driven modules and applications rely on access to high-quality power flow data; however, real-world data are often limited due to privacy and operational constraints. This paper ...
Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...
Abstract: Exploiting the correlation between multimodal data to generate tactile data has become a preferred approach to enhance tactile rendering fidelity. Nevertheless, existing studies have often ...
Anthropic's Claude Opus 4.6 surfaced 500+ high-severity vulnerabilities that survived decades of expert review. Fifteen days later, they shipped Claude Code Security. Here's what reasoning-based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results