The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
Abstract: Industrial time series analysis is the core foundation of equipment status monitoring and industrial intelligence. However, the long-tailed distribution characteristics of time series caused ...
Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...
University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...
Our long-term goal is to build efficient and reliable 2.5B diffusion-based decoding for document OCR. MinerU-Diffusion reframes document OCR as an inverse rendering problem and replaces slow, ...
Artificial intelligence company Tripo AI has introduced Tripo P1.0, a production-grade native 3D diffusion architecture designed to generate engine-ready assets directly in three-dimensional space.
Abstract: This paper discuses the modeling of the diffusion layer thickness variation impact on induced voltage. The numerical modeling of laminate with the diffusion layer is realized using finite ...
Mercury 2, the first diffusion-based reasoning large language model, introduces a new approach to token generation by refining multiple tokens in parallel rather than sequentially. This shift enables ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...
Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...
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