Three MIT-led projects awarded MURI funding for 2023
Through the Multidisciplinary University Research Initiative, the US Department of Defense supports research projects in areas of critical importance to national defense.
Through the Multidisciplinary University Research Initiative, the US Department of Defense supports research projects in areas of critical importance to national defense.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
The MIT Energy Initiative’s Spring Symposium highlights the vast potential of offshore turbines in decarbonizing the grid.
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
Widely recognized leader in statistics and machine learning to succeed Munther Dahleh.
Principal Research Scientist Audun Botterud tackles a range of cross-cutting problems — from energy market interactions to designing batteries — to get closer to a decarbonized power grid.
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
Researchers create a trajectory-planning system that enables drones working together in the same airspace to always choose a safe path forward.
Associate Professor Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis might break down.
By keeping data fresh, the system could help robots inspect buildings or search disaster zones.
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Six distinguished scientists with ties to MIT were recognized for significant contributions to computing systems.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.