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Transformers bring significantly improved performance to the light field image super-resolution task due to their long-range dependency modeling capability. However, the inherently high computational ...
Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the ...
In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...
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AZoQuantum on MSNAI-Physics Approach Tackles Complex Quantum ProblemsResearchers from Okinawa Institute of Science and Technology outline a strategy for using machine learning (ML) to address ...
mlip is a Python library for training and deploying Machine Learning Interatomic Potentials (MLIP) written in JAX. It provides the following functionality: See the Installation section for details on ...
Text-to-image generation (TTI) refers to the usage of models that could process text input and generate high fidelity images based on text descriptions. Text-to-image generation using neural networks ...
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