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Robust and efficient medical imaging with self-supervision Google AI Google AI Blog

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​Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow, single-task systems that require large quantities of labeled data to train. Moreover, these models… Read More »Robust and efficient medical imaging with self-supervision Google AI Google AI Blog

Deep Learning For Large-Scale Biomolecular Dynamics: Harvard Research Scales A Large, Pretrained Allegro Model On Various Systems Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Computational biology, chemistry, and materials engineering rely on the ability to anticipate the time evolution of matter on the atomic scale. While quantum mechanics rules the vibrations, migration, and bond dissociation of atoms and electrons on a tiny level, the phenomena that govern observable… Read More »Deep Learning For Large-Scale Biomolecular Dynamics: Harvard Research Scales A Large, Pretrained Allegro Model On Various Systems Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Deep Learning For Large-Scale Biomolecular Dynamics: Harvard Research Scales A Large, Pretrained Allegro Model On Various Systems Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Computational biology, chemistry, and materials engineering rely on the ability to anticipate the time evolution of matter on the atomic scale. While quantum mechanics rules the vibrations, migration, and bond dissociation of atoms and electrons on a tiny level, the phenomena that govern observable… Read More »Deep Learning For Large-Scale Biomolecular Dynamics: Harvard Research Scales A Large, Pretrained Allegro Model On Various Systems Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Collaborative Machine Learning Model Building with Families Using Co-ML Apple Machine Learning Research

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​Existing novice-friendly machine learning (ML) modeling tools center around a solo user experience, where a single user collects only their own data to build a model. However, solo modeling experiences limit valuable opportunities for encountering alternative ideas and approaches that can arise when learners work… Read More »Collaborative Machine Learning Model Building with Families Using Co-ML Apple Machine Learning Research