School of Engineering welcomes Thomas Tull as visiting innovation scholar
Primary focus will be to advance and promote technology, innovation, and entrepreneurship across the school.
Search Stories
Dan Huttenlocher ponders our human future in an age of artificial intelligence
For the MIT Schwarzman College of Computing dean, bringing disciplines together is the best way to address challenges and opportunities posed by rapid advancements in computing.
Solving the challenges of robotic pizza-making
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
Fighting discrimination in mortgage lending
A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.
New program bolsters innovation in next-generation artificial intelligence hardware
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
Security tool guarantees privacy in surveillance footage
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
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.
Handheld surgical robot can help stem fatal blood loss
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
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.
An “oracle” for predicting the evolution of gene regulation
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.
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.
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.