MIT-IBM Watson AI Lab


Students pitch transformative ideas in generative AI at MIT Ignite competition

December 1, 2023

Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.

New method uses crowdsourced feedback to help train robots

November 29, 2023

Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.

A faster way to teach a robot

August 10, 2023

A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.

New tool helps people choose the right method for evaluating AI models

June 15, 2023

Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.

Learning to grow machine-learning models

April 4, 2023

New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.

Efficient technique improves machine-learning models’ reliability

February 16, 2023

The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.

Putting a new spin on computer hardware

December 23, 2022

Luqiao Liu utilizes a quantum property known as electron spin to build low-power, high-performance computer memories and programmable computer chips.

A faster way to preserve privacy online

December 7, 2022

New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.

In machine learning, synthetic data can offer real performance improvements

November 4, 2022

Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.

Expanding the MIT-IBM Watson AI Lab’s network of neurons

October 27, 2022

On October 6, nearly 50 undergraduate and graduate students and postdocs, primarily from MIT, attended the MIT-IBM Watson AI Lab’s networking event. The goal was to connect young