We're excited because we show that generative ai can be used to design completely new antibiotics, says prof September 3, 2025 read full story 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 This could enable the leverage of reinforcement learning across a wide range of applications. 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 This illustration shows one such graph and how it maps key points of related ideas and concepts. Since much economic growth comes from tech innovation, the way societies use artificial intelligence is of keen interest to mit institute professor daron acemoglu, who has published several papers on ai economics in recent months. With help from ai, mit scientists developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event.
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