MIT Policy Hackathon produces new solutions for technology policy challenges
Hackathon explores policy solutions to challenges in cybersecurity, environmental justice, and city planning focused on post-pandemic efforts to build a better society.
A simpler path to better computer vision
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
Celebrating open data
New prize program recognizes MIT researchers who make data openly accessible and reusable.
Urbanization: No fast lane to transformation
Associate Professor Noah Nathan is generating a body of scholarship on the political impacts of urbanization throughout the global South.
Can your phone tell if a bridge is in good shape?
A new study suggests mobile data collected while traveling over bridges could help evaluate their integrity.
In machine learning, synthetic data can offer real performance improvements
Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
Methane research takes on new urgency at MIT
Desiree Plata's research focuses on developing technologies and strategies for environmental sustainability.
Deep learning with light
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
Ad hoc committee releases report on remote teaching best practices for on-campus education
Task Force 2021 and Beyond report highlights innovative teaching practices that MIT instructors have incorporated into in-person classes, informed by remote-teaching experiences.
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.
Making each vote count
MIT PhD candidate Jacob Jaffe uses data science to identify and solve problems in election administration.
Investigating at the interface of data science and computing
Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.
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.