A one-up on motion capture
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Their model’s predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
Researchers build a portable desalination unit that generates clear, clean drinking water without the need for filters or high-pressure pumps.
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
New technology could help generate hydrogen and chemical industry ingredients.
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
A new approach could make it possible to detect the elusive Unruh effect in hours, rather than billions of years.
The flexible, thin-film device has the potential to make any surface into a low-power, high-quality audio source.
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
Washington is recognizing that the American truck driver shortage might have been misdiagnosed.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.
Students are driving innovative research to promote water and food security for all.
New study reveals multiple pathways for a successful energy transition by 2050.
Special Presidential Envoy for Climate John Kerry calls the initiative “classic MIT.”
Over the past four years, the mechanical engineering community at MIT has utilized their diverse skills and passions to develop solutions for the health of the planet.