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A recent Google DeepMind project paper Scaling deep learning for materials discovery described using GNNs trained on a large and diverse set of first-principles calculations to enable the efficient discovery of inorganic materials and the discovery of 2.2 million new crystal structures, many of which escaped previous human chemical intuition. This represents an order-of-magnitude expansion …

DeepMind Materials new crystal structure data analysis Read More »

Google Deepmind created AlphaMissense, new AI model that classifies the effects of ‘missense’ mutations. Using this tool they created and released a catalogue of ‘missense’ mutations where researchers can learn more about what effect they may have. In a paper published in Science, Deepmind show it categorised 89% of all 71 million possible missense variants …

Deepmind AlphaMissense matched to 23andMe data Read More »