AI learns how vision and sound are connected, without human intervention
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Postdoc Haoran Li describes how the Concrete Sustainability Hub is enabling accessible, fast, and robust pavement decision-making.
A new study shows public views on data privacy vary according to how the data are used, who benefits, and other conditions.
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
New type of “state-space model” leverages principles of harmonic oscillators.
The MIT Festival of Learning sparked discussions on better integrating a sense of purpose and social responsibility into hands-on education.
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
Speaking at MIT, Rasmussen detailed the company’s manufacturing footprint, and the importance of balancing innovation, cost efficiency, and sustainability.
More than 1 million people are contributing their data to Vana’s decentralized network, which started as an MIT class project.