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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

Luis Videgaray PhD ’98, former foreign minister and finance minister of Mexico, is coming to MIT to spearhead an effort that aims to help shape global AI policies, focusing on how such rising technologies will affect people living in all corners of the world.

Visiting lecturer to spearhead project exploring the geopolitics of artificial intelligence

At MIT, Luis Videgaray, alumnus and former foreign minister of Mexico, will launch project to help shape international AI policies.

July 12, 2019

MIT Associate Professor Jennifer Rupp stands in front of a pulsed laser deposition chamber, in which her team developed a new lithium garnet electrolyte material with the fastest reported ionic conductivity of its type. The technique produces a thin film about 330 nanometers thick. “Having the lithium electrolyte as a solid-state very fast conductor allows you to dream out loud of anything else ...

Enriching solid-state batteries

MIT researchers demonstrate a method to make a smaller, safer, and faster lithium-rich ceramic electrolyte.

July 11, 2019

L4DC co-organizer Ali Jadbabaie speaks to a packed room about the future of dynamical and control systems.

IDSS hosts inaugural Learning for Dynamics and Control conference

L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.

July 10, 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

MIT.nano announces founding members of its corporate consortium

Diverse array of companies will counsel, collaborate to boost nanoscale research.

July 8, 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

Artist’s impression depicts the conversion of the structure of a protein molecule into a musical passage, as is done in the MIT researchers’ system.

Translating proteins into music, and back

By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.

June 26, 2019

The MIT Machine Intelligence Community board and executive committee

Want to learn how to train an artificial intelligence model? Ask a friend.

MIT Machine Intelligence Community introduces students to nuts and bolts of machine learning.

June 25, 2019

Students enrolled in the MIT Course 2N program who also graduated from the U.S. Naval Academy pose with Rear Admiral Brian Antonio, a curriculum sponsor for the program.

Projects advance naval ship design and capabilities

At the annual MIT Ship Design and Technology Symposium, naval construction and engineering students presented their work on real-life naval design projects.