Automated system teaches users when to collaborate with an AI assistant
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
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AI accelerates problem-solving in complex scenarios
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
Explained: The sugar coating of life
Researchers are working to advance the field of glycoscience, illuminating the essential role of carbohydrates for human health and disease.
Burchard Scholars gather to network, connect, and learn
The Burchard Scholars dinner series helps create conversations between academic disciplines.
What does the future hold for generative AI?
Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.
Pushing the frontiers of art and technology with generative AI
“I believe by using AI, whether generative or otherwise, we have the opportunity to find the language of humanity,” media artist Refik Anadol told an MIT audience.
Everything, everywhere all at once
Cosmologist and MLK Scholar Morgane König uses gravitational waves to study the universe’s origins, inflation, and present trajectory.
MIT’s Science Policy Initiative holds 13th annual Executive Visit Days
MIT students traveled to Washington to speak to representatives from several federal executive agencies.
New method uses crowdsourced feedback to help train robots
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
Students pitch transformative ideas in generative AI at MIT Ignite competition
Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.
Three MIT affiliates receive Schmidt awards
Jörn Dunkel and Surya Ganguli ’98, MNG ’98 receive Science Polymath awards; Josh Tenenbaum is named AI2050 Senior Fellow.
Synthetic imagery sets new bar in AI training efficiency
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.
Journey to the future of generative AI
MIT Generative AI Week will explore the latest cutting-edge research, along with the implications and possibilities of generative AI.
Five MIT affiliates receive awards from the American Physical Society
Professor Wit Busza, Instructor Karol Bacik, postdocs Cari Cesarotti and Chao Li, and Pablo Gaston Debenedetti SM ’81, PhD ’85 honored for contributions to physics.
Technique enables AI on edge devices to keep learning over time
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.