Marshaling artificial intelligence in the fight against Covid-19
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
What can your microwave tell you about your health?
An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies.
A data-driven response to a pandemic
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Infusing ethics into experiential learning
In a new undergraduate course, students explore the ethical dimensions of their experiences.
Visualizing the world beyond the frame
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
A foolproof way to shrink deep learning models
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Automating the search for entirely new “curiosity” algorithms
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
MIT conference reveals the power of using artificial intelligence to discover new drugs
Inaugural AI Powered Drug Discovery and Manufacturing Conference drew pharmaceutical companies, government regulators, and pioneering drug researchers.
Muscle signals can pilot a robot
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
Reporting tool aims to balance hospitals’ Covid-19 load
Based on crowdsourced data, app helps patients, EMTs, and physicians determine real-time availability of hospital resources.
Shedding light on complex power systems
Senior Research Scientist Marija Ilic is making electric energy systems future-ready.
Reducing the carbon footprint of artificial intelligence
MIT system cuts the energy required for training and running neural networks.
Optimizing complex decision-making
“Operations in practice are very messy, but I think that’s what makes them exciting,” says graduate student Jean Pauphilet.
Professor Daniela Rus named to White House science council
CSAIL director and MIT Schwarzman College of Computing deputy dean of research will serve on the President’s Council of Advisors on Science and Technology.
Annual Women in Data Science conference discusses fake news
WiDS Cambridge, co-hosted by the Institute for Data, Systems, and Society, recognizes and empowers women in STEM across a variety of disciplines.