Jackson Jewett wants to design buildings that use less concrete
The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.
The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.
J-WAFS awards 2023 Solutions Grants to bring two water-related innovations to the market.
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
The effort aims to transform micronutrient dosing to children by harnessing the power of data.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
MIT researchers investigate the causes of health care disparities among underrepresented groups.
A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.