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MIT Professor Markus Buehler designs new proteins with the help of artificial intelligence. He recently translated the spike protein of the novel coronavirus (SARS-Cov-2) into sound to visualize its vibrational properties, as seen here, which could help in finding ways to stop the virus. Primary colors represent the spike’s three protein chains.

Q&A: Markus Buehler on setting coronavirus and AI-inspired proteins to music

Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.

April 2, 2020

Outpouring of support from MIT’s worldwide community bolsters Institute’s Covid-19 response

Alumni and supporters look to MIT in time of crisis.

March 27, 2020

From developing vaccines to helping governments keep communities informed, a number of companies with MIT ties are working to address problems brought on by the Covid-19 pandemic.

MIT-affiliated companies take on Covid-19

A variety of companies with MIT ties are working to address aspects of the Covid-19 pandemic.

March 26, 2020

An algorithm designed to predict the biological effects of 800 “inactive” pill ingredients uncovered thousands of previously undocumented effects. In this visualization of the researchers’ results, inactive ingredients are shown in blue and their protein targets, in red. The number of predicted, and yet-to-be-verified, interactions (gray edges) outnumber those documented so far (in black).

“Inactive” pill ingredients could raise the dose of your medication

With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.

March 17, 2020

Photo of MIT's Building 10 and Killian Court

Events postponed or canceled as MIT responds to COVID-19

Changes follow new Institute policies on travel, events, and visitors; some large classes to move online.

March 9, 2020

Catherine D’Ignazio is the co-author of a new book, “Data Feminism,” published by MIT Press in March 2020.

The elephant in the server room

Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.

March 9, 2020

“Doing machine learning the right way”

Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.

March 7, 2020

MIT cognitive scientists have developed a computer model of face recognition that performs a series of computations that reverse the steps that a computer graphics program would use to generate a 2D representation of a face.

A new model of vision

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

March 4, 2020

President Reif testifies before Congress on U.S. competitiveness

“To stay ahead, the U.S. needs to do more to capitalize on our own strengths,” he tells representatives.

February 27, 2020

A crash course in deep learning organized and taught by grad students Alexander Amini (right) and Ava Soleimany reaches more than 350 MIT students each year; more than a million other people have watched their lectures online over the past three years.

Bringing deep learning to life

MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.

February 24, 2020

PatternEx’s Virtual Analyst Platform uses machine learning models to detect suspicious activity on a network. That activity is then presented to human analysts for feedback that improves the systems’ ability to flag activity analysts care about.

A human-machine collaboration to defend against cyberattacks

PatternEx merges human and machine expertise to spot and respond to hacks.

February 21, 2020

Luis Videgaray, director of MIT’s AI Policy for the World Project, talking at his Starr Forum lecture, hosted by the Center for International Studies, on February 19, 2020.

A road map for artificial intelligence policy

In a Starr Forum talk, Luis Videgaray, director of MIT’s AI Policy for the World Project, outlines key facets of regulating new technologies.

February 20, 2020

MIT political science PhD candidate Benjamin Chang

Benjamin Chang: Might technology tip the global scales?

MIT graduate student is assessing the impacts of artificial intelligence on military power, with a focus on the US and China.

February 19, 2020

Students participating in MIT Quest for Intelligence-funded UROP projects include: (clockwise from top left) Nicole Thumma, Joanne Yuan, Julian Viera, Andrei Dumitrescu, Pablo Alejo-Aguirre, and Dolapo Adedokun.

Bringing artificial intelligence into the classroom, research lab, and beyond

Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.

February 13, 2020

A center of excellence powered by MIT.nano, SENSE.nano received substantial interest in its 2019 call for proposals, making for stiff competition.

SENSE.nano awards seed grants in optoelectronics, interactive manufacturing

The mission of SENSE.nano is to foster the development and use of novel sensors, sensing systems, and sensing solutions.