The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Deploying a practical solution to space debris
Researchers share the design and implementation of an incentive-based Space Sustainability Rating.
Study shows vision-language models can’t handle queries with negation words
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
MIT Department of Economics to launch James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work
With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.
How we think about protecting data
A new study shows public views on data privacy vary according to how the data are used, who benefits, and other conditions.
Merging design and computer science in creative ways
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
Robotic system zeroes in on objects most relevant for helping humans
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
Enhancing the future of teaching and learning at MIT
The MIT Festival of Learning sparked discussions on better integrating a sense of purpose and social responsibility into hands-on education.
Beneath the biotech boom
MIT historian Robin Scheffler’s research shows how local regulations helped create certainty and safety principles that enabled an industry’s massive growth.
Training LLMs to self-detoxify their language
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
Exploring the impacts of technology on everyday citizens
Associate Professor Dwai Banerjee examines topics ranging from cancer care to the history of computing.
A new way to make graphs more accessible to blind and low-vision readers
The Tactile Vega-Lite system, developed at MIT CSAIL, streamlines the tactile chart design process; could help educators efficiently create these graphics and aid designers in making precise changes.
“An AI future that honors dignity for everyone”
As artificial intelligence develops, we must ask vital questions about ourselves and our society, Ben Vinson III contends in the 2025 Compton Lecture.
Building trust in science through conversation and empathy
Conference at MIT brings together scientific experts and communicators to discuss the path toward a more informed, science-supportive public.
3 Questions: Visualizing research in the age of AI
Felice Frankel discusses the implications of generative AI when communicating science visually.