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Two students sit at a table dominated by a white robotic arm that drew a star on a whiteboard.

Teaching a robot its limits, to complete open-ended tasks safely

The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.

December 12, 2024

Daniela Rus, Takeo Kanade, and Vijay Kumar pose together displaying medallions held in boxes. Behind them are portraits of Ben Franklin and other American founders.

Daniela Rus wins John Scott Award

MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.

December 9, 2024

“AI” behind a different kinds of graphs showing growth and decline

What do we know about the economics of AI?

Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.

December 6, 2024

Five images of a 3D robotic bee character. Each image has a smaller 3D model next to it.

A new way to create realistic 3D shapes using generative AI

Researchers propose a simple fix to an existing technique that could help artists, designers, and engineers create better 3D models.

December 4, 2024

Creating innovative health solutions for individuals and populations

Physician and engineer Giovanni Traverso found an early passion for molecular genetics, leading to an interdisciplinary career helping others.

November 27, 2024

A red stop light has the words, “AI” and a traffic intersection is in the background.

MIT researchers develop an efficient way to train more reliable AI agents

The technique could make AI systems better at complex tasks that involve variability.

November 22, 2024

Alan Yu, Phillip Isola, and Ge Yang squat behind a small silver quadruped robot

Can robots learn from machine dreams?

MIT CSAIL researchers used AI-generated images to train a robot dog in parkour, without real-world data. Their LucidSim system demonstrates generative AI's potential for creating robotics training data.

November 19, 2024

Four from MIT named 2025 Rhodes Scholars

Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo will start postgraduate studies at Oxford next fall.

November 16, 2024

Two people pose holding up a large prop check for $10,000

A launchpad for entrepreneurship in aerospace

The Certificate in Aerospace Innovation gives students the tools and confidence to be aerospace entrepreneurs during an inflection point in the industry.

November 15, 2024

Hundreds of people stand or kneel in a large hall

Bridging Talents and Opportunities Forum connects high school and college students with STEAM leaders and resources

Event at MIT featured an array of national and international speakers including a Nobel laureate, leaders in industry, and in entertainment.

November 4, 2024

Skylar Tibbits stands in the lab with a wall of colorful spools behind him.

Finding a sweet spot between radical and relevant

As he invents programmable materials and self-organizing systems, Skylar Tibbits is pushing design boundaries while also solving real-world problems.

November 3, 2024

Scientists in red T-shirts demonstrate an air cannon to a child

Brains, fashion, alien life, and more: Highlights from the Cambridge Science Festival

Organized by the MIT Museum, the 2024 celebration of science, technology, and culture was the largest in its history, with over 50,000 visitors at 300 events.

October 28, 2024

In the lab, a dog sits next to a big white robot arm, dog food, bowl, tea pot, and mug.

A faster, better way to train general-purpose robots

Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.

October 28, 2024

Vincent Sitzmann and Boyuan Chen place a toy apple in front of a robotic arm attached to a table. A toy orange is nearby, placed on top of a blue circular mat, near light and dark green mats.

Combining next-token prediction and video diffusion in computer vision and robotics

A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.

October 16, 2024

Abstract illustration with three cubes, each containing a set of connected dots

How AI is improving simulations with smarter sampling techniques

MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.

October 2, 2024

MIT News | Massachusetts Institute of Technology

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