Intensive visiting nurse program doesn't impact birth outcomes, says ongoing study
First results underscore the urgent need for a better understanding of how to address inequities in birth outcomes.
First results underscore the urgent need for a better understanding of how to address inequities in birth outcomes.
Researchers reveal how an algae-eating bacterium solves an environmental engineering challenge.
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
With over 200 published papers, multiple books, and countless media appearances, Emanuel’s 41 years at MIT have been marked by influential research into hurricane formation and climate change outreach.
Foams that incorporate small amounts of the gas could be delivered to the GI tract to combat colitis and other conditions.
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
By tracing the steps of liver regrowth, MIT engineers hope to harness the liver’s regenerative abilities to help treat chronic disease.
Hydrogen fuel has long been seen as a potentially key component of a carbon-neutral future. At the 2022 MIT Energy Initiative Spring Symposium, industry experts describe efforts to produce it at scale.
A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.
A team of cognitive scientists and doctors finds that patients with aphasia use different cognitive tools to compensate for language deficits.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.
Inspired by fireflies, researchers create insect-scale robots that can emit light when they fly, which enables motion tracking and communication.