Artificial intelligence system learns concepts shared across video, audio, and text
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.
Lecturers ensure the technology, curriculum, and instructional delivery of MIT’s classroom education keep up with the dizzying pace of its research.
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
Prestigious honor society announces more than 250 new members.
Workshop hosted by MIT’s Climate and Sustainability Consortium, MIT-IBM Watson AI Lab, and the MIT Schwarzman College of Computing highlights how new approaches to computing can save energy and help the planet.
Competitive seed grants launch yearlong investigations of novel hypotheses about potential causes, biomarkers, treatments of Alzheimer’s and ALS.
Researchers build a portable desalination unit that generates clear, clean drinking water without the need for filters or high-pressure pumps.
PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
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.
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations.