We are a community of scientists at MIT and IBM Research. We conduct AI research and work with global organizations to bridge algorithms to impact business and society.

↳ Inside the Lab

Spotlight

The Hard Tech Revolutionizing Computing: A Guided Journey
news

The Hard Tech Revolutionizing Computing: A Guided Journey

05/26/2021 - IBM Research

Black Loans Matter: Fighting Bias for AI Fairness in Lending
research

Black Loans Matter: Fighting Bias for AI Fairness in Lending

AI Fairness

What’s Next in AI // Virtual Conference
research

What’s Next in AI // Virtual Conference

Artificial Intelligence

11/02/2020 - MIT-IBM Watson AI Lab

MIT-IBM publications in NeurIPS 2020
research

MIT-IBM publications in NeurIPS 2020

Artificial Intelligence

12/09/2020

How machine learning could curb food waste
news

How machine learning could curb food waste

05/01/2021 - Academic Times

Q&A: Vivienne Sze on crossing the hardware-software divide for efficient AI
news

Q&A: Vivienne Sze on crossing the hardware-software divide for efficient AI

04/30/2021 - MIT News

MIT Announces AI Benchmark ThreeDWorld Transport Challenge
news

MIT Announces AI Benchmark ThreeDWorld Transport Challenge

04/20/2021 - InfoQ

Do Neural Networks Really Need to Be So Big?
research

Do Neural Networks Really Need to Be So Big?

Efficient AI

Can a Fruit Fly Learn Word Embeddings?
research

Can a Fruit Fly Learn Word Embeddings?

ICLR

Reinforcement learning challenge to push boundaries of embodied AI
news

Reinforcement learning challenge to push boundaries of embodied AI

04/26/2021 - TechTalks

Large Associative Memory Problem in Neurobiology and Machine Learning
research

Large Associative Memory Problem in Neurobiology and Machine Learning

ICLR

The Computational Limits of Deep Learning
research

The Computational Limits of Deep Learning

Efficient AI

Membership

The MIT-IBM Watson AI Lab membership program is forging a new model for R&D. We extend the unique collaboration between MIT and IBM Research to a small group of innovative companies and strategic partners comprising leaders in consumer technology, medical devices, finance, construction, energy, and international development.

The mission of the MIT Stephen A. Schwarzman College of Computing is to address the opportunities and challenges of the computing age — from hardware to software to algorithms to artificial intelligence — by transforming the capabilities of academia in computing fields, computing across disciplines, and the social and ethical aspects of computing.