Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
Tech Xplore on MSN
Interrupting encoder training in diffusion models enables more efficient generative AI
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
Tech Xplore on MSN
Physics-based algorithm enables nuclear microreactors to autonomously adjust power output
A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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