MIT experts test technical research for a hypothetical central bank digital currency
Collaboration with Federal Reserve Bank of Boston yields progress in understanding how a digital currency might be developed in the future.
Collaboration with Federal Reserve Bank of Boston yields progress in understanding how a digital currency might be developed in the future.
Fellowship honors ACM members whose accomplishments drive innovation and make broader advances possible.
Overseeing business and research units across MIT Open Learning, Breazeal will focus on the future of digital technologies and their applications in education.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
A program within MIT Corporate Relations has become the largest university-based platform for startups to connect with corporations.
Senior Ibuki Iwasaki seeks creative ways to design technology that considers the human user.
MIT computer scientists and mathematicians offer an introductory computing and career-readiness program for incarcerated women in New England.
The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent.
MIT EECS student and Mitchell Scholar hopes to play music in Dublin while working on his MS in intelligent systems.
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
A new course teaches students how to use computational techniques to solve real-world problems, from landing a spacecraft to placing cell phone towers.
HASTS PhD student Rijul Kochhar tracks changing medical and microbial realities, and examines what they portend for society.
Researchers encourage positive use cases of AI-generated characters for education and well-being.
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.