Deep learning with light
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
The science of strength: How data analytics is transforming college basketball
Adam Petway, strength and conditioning coach for the University of Louisville, is using his MIT Professional Education training to improve player performance off the court.
Study finds the risks of sharing health care data are low
Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.
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.
Wiggling toward bio-inspired machine intelligence
Inspired by jellyfish and octopuses, PhD candidate Juncal Arbelaiz investigates the theoretical underpinnings that will enable systems to more efficiently adapt to their environments.
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.
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.
Collaborative machine learning that preserves privacy
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.