AI Learns to Design Materials by Predicting Their Electrons, Not Just Their Atoms
Researchers at the University of Tokyo have extended a generative AI model to jointly design crystal structures and local electronic ...
Researchers at the University of Tokyo have extended a generative AI model to jointly design crystal structures and local electronic ...
Researchers have combined conditional diffusion models with graph neural networks to generate coordinated energy schedules for building clusters, achieving a ...
Researchers at Institute of Science Tokyo and Cygames have developed the Motion Style Slider, an AI framework that lets animators ...
A new deep learning framework called MedFusionNet combines diffusion-based synthetic MRI generation with a fusion of three neural architectures to ...
Researchers have developed a zero-shot AI framework that transfers the camera motion of a single reference video onto any static ...
A new neural-physical framework called NeuPlume reconstructs complete three-dimensional greenhouse gas plumes and emission rates from sparse drone measurements, outperforming ...
Researchers have adapted a generative diffusion model to downscale coarse global forecasts into 3 km regional predictions across China, outperforming ...
A new diffusion-model-based tool called Influpaint encodes influenza seasons as spatiotemporal images and generates competitive, probabilistic forecasts of epidemic trajectories ...
A new generative AI framework called GenFocal transforms coarse global climate model output into statistically accurate fine-scale regional weather, capturing ...
Researchers at Institute of Science Tokyo have developed ITCD, a two-stage diffusion model with trajectory constraints that fills missing values ...
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© 2025 Scienmag - Science Magazine