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.
Department
Electrical Engineering and Computer Science
Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
J-WAFS announces 2023 seed grant recipients
Fifteen principal investigators from across MIT will conduct early work to solve issues ranging from water contamination to aquaculture monitoring and management.
A better way to study ocean currents
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.
Thirteen from MIT win 2023 Fulbright fellowships
The Fulbright US Student Program funds opportunities for research, graduate study, and teaching abroad.
Four researchers with MIT ties earn 2023 Schmidt Science Fellowships
The illustrious prize supports early-career scientists and engineers as they pursue interdisciplinary work.
Study reveals new ways for exotic quasiparticles to “relax”
A perovskite-based device that combines aspects of electronics and photonics may open doors to new kinds of computer chips or quantum qubits.
Five MIT faculty elected to the National Academy of Sciences for 2023
Joshua Angrist, Gang Chen, Catherine Drennan, Dina Katabi, Gregory Stephanopoulos, and seven additional alumni are recognized by their peers for their outstanding contributions to research.
3 Questions: Jacob Andreas on large language models
The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.
Study: AI models fail to reproduce human judgements about rule violations
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.
Three from MIT named 2023 Knight-Hennessy Scholars
The fellowship funds graduate studies at Stanford University.
Training machines to learn more like humans do
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
The answer may be blowing in the wind
The MIT Energy Initiative’s Spring Symposium highlights the vast potential of offshore turbines in decarbonizing the grid.
MIT HUMANS project breaks down borders, empowering global voices to reach for the stars
The HUMANS nanowafer, an MIT Space Exploration Initiative student-led project, will travel to the ISS this month, and later to the moon, carrying messages in more than 64 languages from over 80 countries.
Researchers create a tool for accurately simulating complex systems
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.