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Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Five MIT faculty elected to the National Academy of Sciences for 2024
Guoping Feng, Piotr Indyk, Daniel Kleitman, Daniela Rus, Senthil Todadri, and nine alumni are recognized by their peers for their outstanding contributions to research.
Using ideas from game theory to improve the reliability of language models
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
A better way to control shape-shifting soft robots
A new algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
Exploring the mysterious alphabet of sperm whales
MIT CSAIL and Project CETI researchers reveal complex communication patterns in sperm whales, deepening our understanding of animal language systems.
Creating bespoke programming languages for efficient visual AI systems
Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.
HPI-MIT design research collaboration creates powerful teams
Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.
Three from MIT named 2024-25 Goldwater Scholars
Undergraduates Ben Lou, Srinath Mahankali, and Kenta Suzuki, whose research explores math and physics, are honored for their academic excellence.
Natural language boosts LLM performance in coding, planning, and robotics
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
Julie Shah named head of the Department of Aeronautics and Astronautics
An expert in robotics and AI, Shah succeeds Steven Barrett at AeroAstro.
Study demonstrates efficacy of MIT-led Brave Behind Bars program
Programming course for incarcerated people boosts digital literacy and self-efficacy, highlighting potential for reduced recidivism.
Mapping the brain pathways of visual memorability
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
To build a better AI helper, start by modeling the irrational behavior of humans
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
For more open and equitable public discussions on social media, try “meronymity”
A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.
A blueprint for making quantum computers easier to program
A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.