Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT engineers have now developed an algorithm that lets autonomous underwater vehicles weigh the risks and potential rewards of exploring an unknown region.

Engineers program marine robots to take calculated risks

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

January 30, 2019

New research describes a single neural network that can collect missing data from a patient and add it to their chart.

Filling the gaps in a patient’s medical data

Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.

January 25, 2019

Members of the Health Analytics Collective: (left to right) Mohamad Zahreddine, Michelle Gayari, Duane Robinson, Uma Sharma, Vijay Ivaturi, Kelly Hill, Joga Gobburu, Alan Edelman, and Prasad Koppolu, gather at MMS Holdings in Canton, Michigan.

Julia Lab joins team to speed up drug approval process

Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.

January 25, 2019

A model by MIT and Microsoft researchers identifies instances where autonomous systems have “learned” from training examples that don’t match what’s actually happening in the real world, which can be used to identify which learned actions could cause costly errors.

Identifying artificial intelligence “blind spots”

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

January 24, 2019

MIT researchers have developed a new secure cryptocurrency that reduces data users need to join the network and verify transactions by up to 99 percent, compared to today’s popular cryptocurrencies, which could mean a more scalable network.

A faster, more efficient cryptocurrency

Design reduces by 99 percent the data users need to join the network and verify transactions.

January 23, 2019

Professor Antonio Torralba, MIT director of the MIT—IBM Watson AI Lab and the inaugural director of the MIT Quest for Intelligence, addresses the audience at the MIT AI Policy Congress on Jan. 15.

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

January 18, 2019

Vinod Vaikuntanathan is using number theory and other mathematical concepts to fortify encryption so it can be used for new applications and stand up to even the toughest adversaries.

Fortifying the future of cryptography

Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.

January 16, 2019

MIT researchers are hoping to advance the democratization of data science with a new tool for nonprogrammers that automatically generates models for analyzing raw data.

Democratizing data science

Tool for nonstatisticians automatically generates models that glean insights from complex datasets.

January 15, 2019

MIT researchers have devised a technique that “reverse engineers” complex 3-D computer-aided design (CAD) models — breaking them down into the many individual shapes they’re made of — to make them far easier for users to customize for manufacturing and 3-D printing applications.

Customizing computer-aided design

System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.

January 2, 2019

Three co-creators of the MIT-incubated Julia programming language, (l-r) Stefan Karpinski, Viral Shah, and Jeff Bezanson, will receive the 2019 James H. Wilkinson Prize for Numerical Software. MIT Julia Lab Leader and Professor Alan Edelman is pictured at right.

Julia language co-creators win James H. Wilkinson Prize for Numerical Software

Awarded every four years, the Wilkinson Prize last came to MIT in 1999.

December 26, 2018

Josh Tenenbaum named Innovator of the Year by R&D Magazine

Professor honored for work on the nature and origins of intelligence in the human mind and applying that knowledge to build human-like intelligence in machines.

December 19, 2018

Aleksander Madry is a leader in the emerging field of building guarantees into artificial intelligence, which has nearly become a branch of machine learning in its own right.

3Q: Aleksander Madry on building trustworthy artificial intelligence

A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.

December 14, 2018

The RePaint system reproduces paintings by combining two approaches called color-contoning and halftoning, as well as a deep learning model focused on determining how to stack 10 different inks to recreate the specific shades of color.

Reproducing paintings that make an impression

CSAIL's new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.

November 29, 2018

Professor and MIT Virtuality Director Fox Harrell is seeking to determine how MIT could use extended reality technologies, both on campus and beyond, to better serve human needs through artful innovation of virtual experiences.

MIT Open Learning launches Center for Advanced Virtuality

The new center will explore how MIT can use virtual reality and artificial intelligence and other technologies to better serve human needs.

November 27, 2018

The keynote address at the second annual AI and the Future of Work summit was delivered by Rosalin Acosta, Massachusetts Secretary of Labor and Workforce Development.

Artificial intelligence summit addresses impact of technology on jobs and global economy

Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.

November 15, 2018

MIT News | Massachusetts Institute of Technology

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