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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.

June 25, 2019

The 2019 Young AFCEA 40 Under 40 award winners from Lincoln Laboratory are (left to right): Anu Myne, Mark Veillette, Meredith Drennan, and Alexander Stolyarov.

Four 2019 40 Under 40 award winners are from Lincoln Laboratory

The Armed Forces Communications and Electronics Association recognizes innovation and leadership in science and technology.

June 19, 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

"As an engineer and historian, I’ve been 'bilingual' my entire career,” says David Mindell, the Dibner Professor of the History of Engineering and Manufacturing; professor of aeronautics and astronautics; and co-founder and CEO of Humatics Corporation. “Dual competence is a good model for undergraduates at MIT as well."

3Q: David Mindell on his vision for human-centered robotics

Engineer and historian discusses how the MIT Schwarzman College of Computing might integrate technical and humanistic research and education.

June 18, 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

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