Computer Science and Artificial Intelligence Laboratory (CSAIL)

A devoted teacher and cherished colleague, Patrick Winston led CSAIL’s Genesis Group, which focused on developing AI systems that have human-like intelligence, including the ability to tell, perceive, and comprehend stories.

Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76

Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.

July 19, 2019

Fernando "Corby" Corbató led the development of early “time-sharing” operating systems, including Multics and the Compatible Time-Sharing System (CTSS).

Professor Emeritus Fernando Corbató, MIT computing pioneer, dies at 93

Longtime MIT professor developed early “time-sharing” operating systems and is widely credited as the creator of the world’s first computer password.

July 15, 2019

A new MIT-invented system automatically designs and 3-D prints complex robotic actuators optimized according to an enormous number of specifications, such as appearance and flexibility. To demonstrate the system, the researchers fabricated floating water lilies with petals equipped with arrays of actuators and hinges that fold up in response to magnetic fields run through conductive fluids.

Automated system generates robotic parts for novel tasks

When designing actuators involves too many variables for humans to test by hand, this system can step in.

July 12, 2019

Clockwise from top left: William Detmold, Semyon Dyatlov, Mary Gehring, David McGee, Ankur Moitra, Matthew Shoulders, Tracy Slatyer, and Michael Williams.

Meet the 2019 tenured professors in the School of Science

Eight faculty members are granted tenure in five science departments.

July 10, 2019

Dean of Digital Learning Krishna Rajagopal (center) with winners of the MITx Prize for Teaching and Learning in MOOCs, Jessica Sandland (left) and Martin Bazant. Not pictured: Polina Anikeeva, who also received the MITx Prize, and John Belcher, Amy Carleton, Jared Curhan, and Erik Demaine, who received Teaching with Digital Technology Awards.

Seven MIT educators honored for digital learning innovation

Educators recognized for improving classroom instruction and student engagement through innovative uses of digital technology.

July 2, 2019

MIT professors Dina Katabi (left) and Angelika Amon are among the 2019 Carnegie Corporation "Great Immigrants, Great Americans."

Angelika Amon and Dina Katabi named Carnegie Corporation “Great Immigrants”

MIT biologist and electrical engineer are two of 38 naturalized U.S. citizens honored for contributions to American society.

July 2, 2019

The GANpaint system developed at MIT can easily add features to an existing image. At left, the original photo of a kitchen; at right, the same kitchen with the addition of a window. Co-author Jun-Yan Zhu believes better understanding of GANs will help researchers be able to better stamp out fakery: “This understanding may potentially help us detect fake images more easily.”

Teaching artificial intelligence to create visuals with more common sense

An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.

July 1, 2019

For years, researchers from MIT and Brown University have been developing an interactive system that lets users drag-and-drop and manipulate data on any touchscreen, including smartphones and interactive whiteboards. Now, they’ve included a tool that instantly and automatically generates machine-learning models to run prediction tasks on that data.

Drag-and-drop data analytics

System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.

June 27, 2019

Users feed Gen relatively short code defining a target task, and the system automatically generates the results.

New AI programming language goes beyond deep learning

General-purpose language works for computer vision, robotics, statistics, and more.

June 26, 2019

MIT researchers have developed a system that gleans far more labeled training data from unlabeled data, which could help machine-learning models better detect structural patterns in brain scans associated with neurological diseases. The system learns structural and appearance variations in unlabeled scans, and uses that information to shape and mold one labeled scan into thousands of new, distinct...

From one brain scan, more information for medical artificial intelligence

System helps machine-learning models glean training information for diagnosing and treating brain conditions.

June 19, 2019

“Fiat Cryptography,” a system developed by MIT researchers, automatically generates — and simultaneously verifies — cryptographic algorithms optimized across all hardware platforms. Algorithms generated by the system are already behind most of the secure links opened in Google Chrome.

Automated cryptocode generator is helping secure the web

System automatically writes optimized algorithms to encrypt data in Google Chrome browsers and web applications.

June 17, 2019

Yunzhu Li is a PhD student at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

June 17, 2019

Researchers have developed a flexible way of combining deep learning and symbolic reasoning to teach computers to write short computer programs. Here, Armando Solar-Lezama (left), a professor at CSAIL, speaks with graduate student Maxwell Nye.

Toward artificial intelligence that learns to write code

Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.

June 14, 2019

Left to right: David Fialkow; Nina Fialkow; Melissa Nobles, Kenan Sahin Dean of the MIT School of Humanities, Arts, and Social Sciences; Hashim Sarkis, dean of the MIT School of Architecture and Planning; and Caroline Jones, professor in the Department of Architecture and director of the Transmedia Storytelling Initiative

Transmedia Storytelling Initiative launches with $1.1 million gift

Program creates a new hub for pedagogy and research in time-based media.

June 12, 2019

A new algorithm helps robots predict the paths people take in structured environments like the factory floor, which may further enable close collaboration between humans and machines.

Algorithm tells robots where nearby humans are headed

A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.

June 10, 2019

MIT News | Massachusetts Institute of Technology

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