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A Web-based software toolkit for accessible and best-practice machine learning analyses in biomedical research
Machine learning is increasingly central to biomedical research, but using machine learning well often requires substantial computational expertise and methodological care to produce high-quality results. To make machinelearning tools more accessible to biomedical researchers while supporting best-practice approaches, we developed the Galaxy Learning and Modeling (GLEAM) software toolkit. GLEAM enables researchers to performsupervised machine learning analyses through a set of web-based,...
Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model
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21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables
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Microsoft’s AI chief says superintelligence is near, but won’t take your job
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Ahoy, DECmate II the little PDP-8 that could
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Classifying galaxies in the Galaxy10 DECals dataset using Inception and Residual CNNs
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Motorola's latest family of Razrs includes its first book-style foldable
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Superintelligence: The Idea That Eats Smart People (2016)
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