Now, the newly tenured professor in materials science and engineering believes AI is poised to transform science in ways never before possible. His work at MIT and beyond is devoted to accelerating that future. 'We're at a second inflection point,' Gomez-Bombarelli says. 'The first one was around 2015 with the first wave of representation learning, generative AI, and high-throughput data in some areas of science. Those are some of the techniques I first brought into my lab at MIT. Now I think we're at a second inflection point, mixing language and merging multiple modalities into general scientific intelligence. We're going to have all the model classes and scaling laws needed to reason about language, reason over material structures, and reason over synthesis recipes.' Gomez Bombarelli's research combines physics-based simulations with approaches like machine learning and generative AI to discover new materials with promising real-world applications. His work has led to new...
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