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Fadel Adib Promoted to Full Professor

June 17, 2026

Wireless sensing technologies from the Signal Kinetics group are now deployed in hospitals, homes, and retail environments worldwide.

Justin Solomon appointed associate dean of engineering education

May 14, 2026

Faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.

Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

May 1, 2026

A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.

Augmenting citizen science with computer vision for fish monitoring

April 6, 2026

MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.

Vincent Sitzmann named Junior Bose Award winner

April 6, 2026

The award is given annually to an outstanding contributor to education from among the faculty members who are being proposed for promotion to associate professor without tenure.

3 Questions: How AI is helping us monitor and support vulnerable ecosystems

November 12, 2025

MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.

Pulkit Agrawal receives the IROS Toshio Fukuda Young Professional Award

October 24, 2025

Agrawal received the award for his work in “robot learning, self-supervised and sim-to-real policy learning, agile locomotion, and dexterous manipulation,” according to the organization.

Caption:The “steerable scene generation” system creates digital scenes of things like kitchens, living rooms, and restaurants that engineers can use to simulate lots of real-world robot interactions and scenarios.

Using generative AI to diversify virtual training grounds for robots

October 15, 2025

New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

MIT tool visualizes and edits “physically impossible” objects

August 11, 2025

By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.

Robot, know thyself: New vision-based system teaches machines to understand their bodies

July 28, 2025

Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.