Computer Science and Artificial Intelligence Laboratory (CSAIL)

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Interactive mouthpiece opens new opportunities for health data, assistive technology, and hands-free interactions

October 30, 2024

“MouthIO” is an in-mouth device that users can digitally design and 3D print with integrated sensors and actuators to capture health data and interact with a computer or phone.

A faster, better way to train general-purpose robots

October 30, 2024

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

Making it easier to verify an AI model’s responses

October 25, 2024

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.

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

October 18, 2024

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.

How AI is improving simulations with smarter sampling techniques

October 7, 2024

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

Modeling relationships to solve complex problems efficiently

October 4, 2024

Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.

AI pareidolia: Can machines spot faces in inanimate objects?

September 30, 2024

New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.

Enhancing LLM collaboration for smarter, more efficient solutions

September 17, 2024

“Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.

A fast and flexible approach to help doctors annotate medical scans

September 11, 2024

“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.

Toward a code-breaking quantum computer

September 3, 2024

Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.