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Despite resistance from China and the US, the EU’s new envoy in Canberra says Europe and Australia can demand greater regulation of artificial intelligence.
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Molecular learning models are strongly shaped by their underlying representations. Yet standard sequential and graph formalisms struggle to explicitly encode higher-order topology, such as ring…
Quasi-Newton (QN) methods have long been among the most effective methods for large-scale unconstrained convex optimization.
Current controllable video generation systems often rely on 2D motion trajectories or sparse drag signals for object motion.
Distribution Matching Distillation (DMD) trains a few-step student from the difference between separately estimated target and student scores, so it must keep an auxiliary diffusion model fitted to…
Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction.
