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Using generative ai algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties Mit news explores the environmental and sustainability implications of generative ai technologies and applications. Mit researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light The new ai approach uses graphs based on methods inspired by category theory as a central mechanism to understand symbolic relationships in science