In 2015, the first of two MIT-Boston University law clinics was formed to provide free legal services to student innovators while giving law students experience working on technology-related legal matters.

MIT’s expansive effort to envision, and position itself for, a post-Covid world — Task Force 2021 and Beyond (MIT Beyond) — is now under way.

It's often easy to tell when colleagues are struggling with a cold — they sound sick. Maybe their voices are lower or have a nasally tone. Infections change the quality of our voices in various ways. But MIT Lincoln Laboratory researchers are detecting these changes in Covid-19 patients even when these changes are too subtle for people to hear or even notice in themselves.

For humans, it can be challenging to manipulate thin flexible objects like ropes, wires, or cables. But if these problems are hard for humans, they are nearly impossible for robots. As a cable slides between the fingers, its shape is constantly changing, and the robot’s fingers must be constantly sensing and adjusting the cable’s position and motion.

A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), in collaboration with Ava Robotics and the Greater Boston Food Bank (GBFB), designed a new robotic system that powerfully disinfects surfaces and neutralizes aerosolized forms of the coronavirus.

A new artificial intelligence tool developed by the MIT-IBM Watson AI Lab leverages the virtual eyes and ears of a computer to separate similar sounds that are tricky even for humans to differentiate. The tool improves on earlier iterations by matching the movements of individual musicians, via their skeletal keypoints, to the tempo of individual parts, allowing listeners to isolate a single flute or violin among multiple flutes or violins. 

GPUs have long been the chip of choice for performing AI tasks. Neural Magic wants to change that.

The MIT-Takeda Program aims to fuel the development and application of artificial intelligence (AI) capabilities to benefit human health and drug development. Centered within the Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), the program brings together the MIT School of Engineering and Takeda Pharmaceuticals, to combine knowledge and address challenges of mutual interest.

What seizes your attention at first glance might change with a closer look. That elephant dressed in red wallpaper might initially grab your eye until your gaze moves to the woman on the living room couch and the surprising realization that the pair appear to be sharing a quiet moment together.

PhD student Geeticka Chauhan draws on her experiences as an international student to strengthen the bonds of her MIT community.