Mit researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. A new generative ai approach to predicting chemical reactions system developed at mit could provide realistic predictions for a wide variety of reactions, while maintaining real. 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.
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Mit news explores the environmental and sustainability implications of generative ai technologies and applications.
