Last-minute pivot leads to record-setting Microsystems Annual Research Conference
Virtual conference gathered students, faculty, and industry partners to explore the future of microsystems and nanotechnology.
3 Questions: How the MIT mini cheetah learns to run
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
Q&A: Climate Grand Challenges finalists on accelerating reductions in global greenhouse gas emissions
Faculty leaders describe their efforts to develop potentially game-changing tools.
How artificial intelligence can help combat systemic racism
MLK Visiting Professor S. Craig Watkins looks beyond algorithm bias to an AI future where models more effectively deal with systemic inequality.
When it comes to AI, can we ditch the datasets?
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
MIT Morningside Academy for Design created as a new hub for cross-disciplinary education, research, and innovation
Supported by a $100 million founding gift, the academy will deepen the integration of design across the Institute and beyond.
Design course challenges students to solve real-world problems
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
Q&A: Climate Grand Challenges finalists on building equity and fairness into climate solutions
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.
Unlocking new doors to artificial intelligence
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
3 Questions: Fotini Christia on racial equity and data science
A new MIT-wide effort launched by the Institute for Data, Systems, and Society uses social science and computation to address systemic racism.
A new resource for teaching responsible technology development
The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.
How to help humans understand robots
Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.
The benefits of peripheral vision for machines
Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.
Injecting fairness into machine-learning models
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.
Four from MIT named Meta Fellows for 2022
The honorees include four MIT graduate students in electrical engineering and computer science, economics, and media arts and sciences.