3 Questions: How AI image generators could help robots
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
New system designs nanomaterials that conduct heat in specific ways
The technique could be used to fabricate computer chips that won’t get too hot while operating, or materials that can convert waste heat to energy.
Learning on the edge
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.
Neurodegenerative disease can progress in newly identified patterns
A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.
Q&A: Global challenges surrounding the deployment of AI
Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.
Soft robots that grip with the right amount of force
Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
Peter Shor wins Breakthrough Prize in Fundamental Physics
MIT professor to share $3 million prize with three others; Daniel Spielman PhD ’95 wins Breakthrough Prize in Mathematics.
In-home wireless device tracks disease progression in Parkinson’s patients
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Empowering Cambridge youth through data activism
Mayor’s youth employment program brought local high schoolers to MIT this summer.
Protecting maternal health in Rwanda
An interdisciplinary team is developing a mobile health platform that uses AI to detect infection in Cesarean section wounds.
AI system makes models like DALL-E 2 more creative
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Collaborative machine learning that preserves privacy
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Analyzing the potential of AlphaFold in drug discovery
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
A new method boosts wind farms’ energy output, without new equipment
By modeling the conditions of an entire wind farm rather than individual turbines, engineers can squeeze more power out of existing installations.
Caspar Hare, Georgia Perakis named associate deans of Social and Ethical Responsibilities of Computing
The faculty members will work together to advance the cross-cutting initiative of the MIT Schwarzman College of Computing.