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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

"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

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

PhD student Clare Kim studies the history of mathematics and the ways that mathematicians interacted with artists, humanists, and philosophers throughout the 20th century.

A scholar and teacher re-examines moments in the history of STEM

“I love teaching,” says PhD student Clare Kim. “It’s not that I’m just imparting knowledge, but I want [my students] to develop a critical way of thinking.”

June 13, 2019

Chip design drastically reduces energy needed to compute with light

Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.

June 5, 2019

Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how increasingly popular automated machine-learning (AutoML) systems work.

Cracking open the black box of automated machine learning

Interactive tool lets users see and control how automated model searches work.

May 31, 2019

Phillip Isola is an expert in generative adversarial networks, a form of deep learning that is changing how we look at images and inspiring applications far beyond computer vision. Isola helped organize GANocracy, a day-long workshop at MIT on the art and science of GANs.

Q&A: Phillip Isola on the art and science of generative models

Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.

May 30, 2019

In a pair of studies, researchers show that grammar-enriched deep learning models understand some key rules about language use. Peng Qian (left) and Ethan Wilcox, graduate students at MIT and Harvard University respectively, presented the work at a recent MIT-IBM Watson AI Lab poster session.

Teaching language models grammar really does make them smarter

Researchers submit deep learning models to a set of psychology tests to see which ones grasp key linguistic rules.

May 29, 2019

MIT researchers have developed a low-cost, sensor-packed glove that captures pressure signals as humans interact with objects. The glove can be used to create high-resolution tactile datasets that robots can leverage to better identify, weigh, and manipulate objects.

Sensor-packed glove learns signatures of the human grasp

Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.

May 29, 2019

3 Questions: The social implications and responsibilities of computing

In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.

May 24, 2019

3 Questions: Faculty appointments and the MIT Schwarzman College of Computing

Working group studies options for creating a new set of faculty hires for MIT’s new college.

May 24, 2019

Students participating in Quest for Intelligence-funded UROP projects this spring include: (clockwise from top left) Amanda Li, Maya Nigrin, Yuria Utsumi, Kika Arias, Marco Fleming, and Shreya Pandit.

Developing artificial intelligence tools for all

MIT Quest for Intelligence-sponsored undergraduate research projects demystify AI.

May 23, 2019

Advanced Functional Fabrics of America (AFFOA) is connecting research in fibers, fabrics and textiles with industry players to create innovative manufacturing processes.

Fabrics poised to become the new software

Basic research advance leads to production of more than 250,000 chips embedded within fibers in less than a year.

May 21, 2019

The MIT Policy Hackathon winning team Dream ER at work on their proposal

MIT Policy Hackathon connects data-driven problem solvers

Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.