A new generative AI approach to predicting chemical reactions
Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try…
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3 Questions: The pros and cons of synthetic data in AI
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from…
3 Questions: On biology and medicine’s “data revolution”
Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer…
MIT researchers develop AI tool to improve flu vaccine strain selection
Every year, global health experts are faced with a high-stakes decision: Which influenza strains should go into the next seasonal…
Simpler models can outperform deep learning at climate prediction
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a…
New technologies tackle brain health assessment for the military
Cognitive readiness denotes a person’s ability to respond and adapt to the changes around them. This includes functions like keeping…
Can large language models figure out the real world?
Back in the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to…
A new model predicts how molecules will dissolve in different solvents
Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will…
Researchers glimpse the inner workings of protein language models
Within the past few years, models that can predict the structure or function of proteins have been widely used for…
How AI could speed the development of RNA vaccines and other RNA therapies
Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver…