Leveraging language to understand machines
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
The series aims to help policymakers create better oversight of AI in society.