MIT's Rafael G+?mez-Bombarelli believes AI is at a second inflection point, poised to revolutionize scientific research by merging language and multi-modal approaches into general scientific intelligence. His work focuses on using physics-based simulations and machine learning to discover new materials with practical applications, aiming to make future scientific research more seamless and productive.
Read the full article at MIT News - Machine learning
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