School of Engineering

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

MIT’s graduate program in engineering has again earned a No. 1 spot in U.S. News and World Report’s annual rankings, a place it has held since 1990, when the magazine first ranked such programs.

MIT graduate engineering, business programs ranked highly by U.S. News for 2021

Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.

March 17, 2020

An international research team used an advanced neural network machine-learning system to improve the accuracy of tests probing the plastic properties of materials — which can be important in a wide variety of industrial applications.

Deep learning for mechanical property evaluation

New technique allows for more precise measurements of deformation characteristics using nanoindentation tools.

March 16, 2020

A new embedded droplet printing method suspends 3D arrays of droplets in a uniquely isolated state that allows for precise processing and experimentation.

SMART announces new method for processing fluid droplets

Microfluidics enables researchers to create unique environment for developing medicine, paving the way for more potent, high-quality drugs.

March 16, 2020

“I’ve recently encountered researchers at a loss for how to describe their visualizations in ways that make them more accessible. When visualizations appear in, say, textbooks, scientific publications, or educational materials, they might appear as braille translations of the image, but more often they appear as textual descriptions. But what is the best way to describe a visualization?,” sa...

3Q: Collaborating with users to develop accessible designs

An MIT team discusses the pitfalls of “parachute research” and the importance of “sociotechnical” factors.

March 13, 2020

This scanning electron microscope image shows SARS-CoV-2 (yellow)—also known as 2019-nCoV, the virus that causes COVID-19—isolated from a patient, emerging from the surface of cells (blue/pink) cultured in the lab.

Covid-19 diagnostic based on MIT technology might be tested on patient samples soon

A variety of MIT research projects could aid efforts to detect and prevent the spread of coronavirus.

March 12, 2020

Milo Phillips-Brown (left) and Marion Boulicault are part of a team working on transforming technology ethics education at MIT.

3 Questions: Marion Boulicault and Milo Phillips-Brown on ethics in a technical curriculum

Philosophers are part of a team working on transforming technology ethics education at MIT.

March 11, 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

Renae Irving '18 is a molecular biology research associate, and Academic Mentoring Seminar instructor for the SEED Academy program at MIT.

3 Questions: Renae Irving on creating supportive learning environments for middle- and high-school students

Molecular biology researcher and MIT alumna is an Office of Engineering Outreach Programs (OEOP) instructor.

March 9, 2020

A new model of glucose-responsive insulin, developed by MIT researchers, could lead to better treatment for diabetes and could eliminate the need for regular manual glucose-level testing.

Mathematical model could lead to better treatment for diabetes

A new model can predict which types of glucose-responsive insulin will work in humans and animals.

March 9, 2020

The 2020 MacVicar Faculty Fellows are: (clockwise from top left) Polina Anikeeva, Jacob White, William Tisdale, and Mary Fuller.

2020 MacVicar Faculty Fellows named

Anikeeva, Fuller, Tisdale, and White receive MIT's highest honor in undergraduate teaching.

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