Tackling the misinformation epidemic with “In Event of Moon Disaster”
New website from the MIT Center for Advanced Virtuality rewrites an important moment in history to educate the public on the dangers of deepfakes.
Search Stories
What is the Covid-19 data tsunami telling policymakers?
A global team of researchers searches for insights during a weeklong virtual “datathon.”
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.
Playing a new tune
Meet Professor David Rand, a one-time punk rock guitarist who now digs into psychology, cooperation, and politics.
MIT-affiliated companies take on Covid-19
A variety of companies with MIT ties are working to address aspects of the Covid-19 pandemic.
Demystifying artificial intelligence
Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.
Finding a good read among billions of choices
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Students push to speed up artificial intelligence adoption in Latin America
To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
Better fact-checking for fake news
New research reveals biases in fake news datasets and improves the use of automatic detectors.
What a little more computing power can do
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
Why did my classifier just mistake a turtle for a rifle?
Two longtime friends explore how computer vision systems go awry.
MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review
Open access journal to promote the latest research, educational resources, and commentary from leading minds in data science.
Four 2019 40 Under 40 award winners are from Lincoln Laboratory
The Armed Forces Communications and Electronics Association recognizes innovation and leadership in science and technology.
Q&A: Phillip Isola on the art and science of generative models
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
3 Questions: The social implications and responsibilities of computing
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.