Results
3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
Supporting systems of success
In the MIT class 6.C31 (Hack Yourself) students apply computer science strategies to personal growth goals.
Using AI to mitigate the growing environmental threat of data centers
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Planning system ensures a robot’s flight path will remain collision-free
This new method, called “SANDO,” could help disaster-response robots navigate dangerous, unknown environments.
Computational tools for society’s most complex challenges
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
New tool lets users repair AI-generated 3D models, then fabricate them just the way they want
“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.
This game-playing AI is the new champ at Stratego
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
The effects of an “algorithmic monoculture” depend on the details
In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.
As tech leaders warn of risks, more college students major in artificial intelligence
Asu Ozdaglar, deputy dean of the MIT Schwarzman College of Computing, and graduate student Julia Schneider '26 speak to Spectrum News about MIT’s new Artificial Intelligence and Decision Making major.
MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
