MIT researchers advance automated interpretability in AI models
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
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MIT affiliates named 2024 HHMI Investigators
Four faculty members and four others with MIT ties are recognized for pushing the boundaries of science and for creating highly inclusive and collaborative research environments.
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique enables users to compare several large models and choose the one that works best for their task.
Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building
Members of the MIT community, supporters, and guests commemorate the opening of the new college headquarters.
Reasoning skills of large language models are often overestimated
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
“They can see themselves shaping the world they live in”
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
MIT researchers introduce generative AI for databases
This new tool offers an easier way for people to analyze complex tabular data.
The rules of the game
Rising superpowers like China are “cautious opportunists” in global institutions, and the U.S. should avoid overreaction, PhD student Raymond Wang argues.
The tenured engineers of 2024
Twelve faculty members have been granted tenure in six units across MIT’s School of Engineering.
Study reveals why AI models that analyze medical images can be biased
These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.
Leaning into the immune system’s complexity
By designing new tools that can analyze huge libraries of immune cells and their targets, Michael Birnbaum hopes to generate better T cell therapies for cancer and other diseases.
Fotini Christia named director of the Institute for Data, Systems, and Society
Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.
Melissa Choi named director of MIT Lincoln Laboratory
With decades of experience working across the laboratory’s R&D areas, Choi brings a focus on collaboration, technical excellence, and unity.