Machine-learning model helps determine protein structures

New technique reveals many possible conformations that a protein may take.

Anne Trafton | MIT News Office • mit
Feb. 4, 2021 ~7 min

Epigenomic map reveals circuitry of 30,000 human disease regions

Analysis reveals genetic control elements that are linked to hundreds of human traits.

Anne Trafton | MIT News Office • mit
Feb. 3, 2021 ~8 min


Robust artificial intelligence tools to predict future cancer

Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.

Rachel Gordon | MIT CSAIL • mit
Jan. 28, 2021 ~12 min

Model analyzes how viruses escape the immune system

Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.

Anne Trafton | MIT News Office • mit
Jan. 14, 2021 ~8 min

To the brain, reading computer code is not the same as reading language

Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.

Anne Trafton | MIT News Office • mit
Dec. 15, 2020 ~7 min

Building machines that better understand human goals

A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.

Rachel Gordon | MIT CSAIL • mit
Dec. 14, 2020 ~8 min

Automating material-matching for movies and video games

Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.

Adam Conner-Simons | MIT CSAIL • mit
Dec. 10, 2020 ~5 min

Better learning with shape-shifting objects

MIT study shows the power of adaptive training tools, like a basketball hoop that shrinks and raises as you make shots.

Adam Conner-Simons | MIT CSAIL • mit
Dec. 7, 2020 ~4 min


Center to advance predictive simulation research established at MIT Schwarzman College of Computing

MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.

Terri Park | MIT Schwarzman College of Computing • mit
Nov. 24, 2020 ~7 min

Algorithm reduces use of riskier antibiotics for UTIs

Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.

Adam Conner-Simons | Rachel Gordon | MIT CSAIL • mit
Nov. 5, 2020 ~7 min

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