A factory for FrEDs at MIT
Graduate students create on-campus assembly factory for fiber extrusion devices.
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.
New program to support translational research in AI, data science, and machine learning
The MIT-Pillar AI Collective will cultivate prospective entrepreneurs and drive innovation.
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.
Understanding reality through algorithms
Neuroscience PhD student Fernanda De La Torre uses complex algorithms to investigate philosophical questions about perception and reality.
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.
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.
Computing for the health of the planet
The MIT Schwarzman College of Computing welcomes four new faculty members engaged in research and teaching that address climate risks and other environmental issues.
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.
J-WAFS awards $150K Solutions grant to Patrick Doyle and team for rapid removal of micropollutants from water
The grant will enable pilot-scale water treatment systems to be built and tested using sustainable hydrogel microparticles.
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.