Undergraduates develop next-generation intelligence tools
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Startup makes meeting data searchable and shareable, and automates data entry into workplace apps.
Engineers develop a rapid screening system to test fracture resistance in billions of potential materials.
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies.
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
MIT system cuts the energy required for training and running neural networks.
WiDS Cambridge, co-hosted by the Institute for Data, Systems, and Society, recognizes and empowers women in STEM across a variety of disciplines.
Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.