A system for designing and training intelligent soft robots
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
By integrating multiple sensory inputs, a loop of mutual inhibition among a small set of neurons allows worms to switch between long-lasting behavioral states.
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
MIT economist’s new research shows U.S. locales hammered by open trade with China have not rebounded, even a decade or more later.
The potent new adjuvant could be used to help make vaccines against HIV and other infectious diseases.
The boiling new world, which zips around its star at ultraclose range, is among the lightest exoplanets found to date.
New results show North Atlantic hurricanes have increased in frequency over the last 150 years.
Researchers make the case for a semisolid electrochemical compound as a cost-efficient, grid-scale battery backup for wind and solar power.
The Raman spectroscopy-based method enables early detection and quantification of pathogens in plants, to enhance plant disease management.
MIT visiting scholar is motivated by foundational science at the edges of the periodic table.
Professor Fotini Christia is part of a team examining the challenges of implementing community policing across a range of countries.
New analysis could help identify optimal materials for the crisscrossing struts that bolster bridges, towers, and buildings.
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.