Artificial intelligence

Roboticists are developing automated robots that can learn new tasks solely by observing humans. At home, you might someday show a domestic robot how to do routine chores.

Showing robots how to do your chores

By observing humans, robots learn to perform complex tasks, such as setting a table.

March 5, 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

MIT researchers (left to right) Qianli Liao, Tomaso Poggio, and Andrzej Banburski stand with their equations.

Demystifying the world of deep networks

Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.

February 28, 2020

MIT researchers have used a neural network to identify low-frequency seismic waves hidden in earthquake data. The technique may help scientists more accurately map the Earth’s interior.

Machine learning picks out hidden vibrations from earthquake data

Technique may help scientists more accurately map vast underground geologic structures.

February 28, 2020

MIT's new system allows a self-driving car to situate itself in snowy conditions.

To self-drive in the snow, look under the road

Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.

February 26, 2020

Renewed products consist of upcycled or recycling materials. The Renewal Workshop is an MIT Solver team that works to save textiles from landfill.

MIT Solve announces 2020 global challenges

Tech-based solutions sought for challenges in work environments, education for girls and women, maternal and newborn health, and sustainable food.

February 25, 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 researchers used a machine-learning algorithm to identify a drug called halicin that kills many strains of bacteria. Halicin (top row) prevented the development of antibiotic resistance in E. coli, while ciprofloxacin (bottom row) did not.

Artificial intelligence yields new antibiotic

A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.

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

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.

February 13, 2020

Tagup's industrial equipment monitoring platform is currently being used by energy companies to monitor approximately 60,000 pieces of equipment around North America and Europe. That includes transformers, offshore wind turbines, and reverse osmosis systems for water filtration.

Maintaining the equipment that powers our world

By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.

February 12, 2020

Yena Han (left) and Tomaso Poggio stand with an example of the visual stimuli used in a new psychophysics study.

Bridging the gap between human and machine vision

Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.

February 11, 2020

Several dozen students participated in the Green AI Hackathon, co-sponsored by the MIT Research Computing Project and MIT-IBM Watson AI Lab.

Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer

Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.