New AI model could cut the costs of developing protein drugs
MIT researchers used a large language model to optimize the genetic sequences of proteins manufactured by yeast, making production more efficient.
MIT researchers used a large language model to optimize the genetic sequences of proteins manufactured by yeast, making production more efficient.
Hertha Metals, founded by Laureen Meroueh SM ’18, PhD ’20, uses natural gas and electricity to produce steel and high-purity iron for magnets.
Design leader brings extensive interdisciplinary track record to key role supporting faculty across the Institute.
Associate Professor Rafael Gómez-Bombarelli has spent his career applying AI to improve scientific discovery. Now he believes we are at an inflection point.
Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
MagMix, an onboard mixing device, enables scalable manufacturing of 3D-printed tissues.
MIT Sports Lab researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.
The flexible material could enable on-demand heat dissipation for electronics, fabrics, and buildings.
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.
For several decades beginning in the 1950s, the Killian Report set the frontiers of military technology, intelligence gathering, national security policy, and global affairs.
Former Chemical Engineering Practice School director recognized by the National Academy of Engineering for decades of leadership advancing immersive, industry-centered learning at MIT.
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
Based on a virus-like particle built with a DNA scaffold, the approach could generate broadly neutralizing antibody responses against HIV or influenza.
He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.