""

澳门太阳城网站-最新注册

Josh Tenenbaum receives 2019 MacArthur Fellowship

Josh Tenenbaum

Brain and cognitive sciences professor studies how the human mind is able to learn so rapidly.


Press Contact

Sarah McDonnell
Email: s_mcd@mit.edu
Phone: 617-253-8923
MIT News Office

Media Resources

1 images for download

Access Media

Media can only be downloaded from the desktop version of this website.

Josh Tenenbaum, a professor in MIT’s Department of Brain and Cognitive Sciences who studies human cognition, has been named a recipient of a 2019 MacArthur Fellowship.

The fellowships, often referred to as “genius grants,” come with a five-year, $625,000 prize, which recipients are free to use as they see fit.

“It’s an amazing honor, and very unexpected. There are a very small number of cognitive scientists who have ever received it, so it’s an incredible honor to be in their company,” says Tenenbaum, a professor of computational cognitive science and a member of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for Brains, Minds and Machines (CBMM).

Using computer modeling and behavioral experiments, Tenenbaum seeks to understand a key aspect of human intelligence: how people are able to rapidly learn new concepts and tasks based on very little information. This phenomenon is particularly noticeable in babies and young children, who can quickly learn meanings of new words, or how objects behave in the physical world, after minimal exposure to them.

“One thing we’re trying to understand is how are these basic ways of understanding the world built, in very young children? What are babies born with? How do children really learn and how can we describe those ideas in engineering terms?” Tenenbaum says.

Additionally, his lab explores how the mind performs cognitive processes such as making predictions about future events, inferring the mental states of other people, making judgments regarding cause and effect, and constructing theories about rules that govern physical interactions or social behavior.

500 Internal Server Error- 澳门太阳城网站-最新注册

Internal Server Error

The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.

Tenenbaum also studies machine learning and artificial intelligence, with the goal of bringing machine-learning algorithms closer to the capacities of human learning. This could lead to more powerful AI systems as well as more powerful theoretical paradigms for understanding human cognition.

Tenenbaum received his PhD from MIT in 1999, and after a brief postdoc with the MIT AI Lab he joined the Stanford University faculty as an assistant professor of psychology. He returned to MIT as a faculty member in 2002. Last year, he was named a scientific director of The Core, a part of MIT’s Quest for Intelligence that focuses on advancing the science and engineering of both human and machine intelligence.

Including Tenenbaum, 24 MIT faculty members and three staff members have won the MacArthur fellowship.

MIT faculty who have won the award over the last decade include health care economist Amy Finkelstein and media studies scholar Lisa Parks (2018); computer scientist Regina Barzilay (2017); economist Heidi Williams (2015); computer scientist Dina Kitabi and astrophysicist Sara Seager (2013); writer Junot Diaz (2012); physicist Nergis Mavalvala (2010); and economist Esther Duflo (2009).


Topics: Faculty, Brain and cognitive sciences, Behavior, Memory, Computer Science and Artificial Intelligence Laboratory (CSAIL), Center for Brains Minds and Machines, School of Science, Awards, honors and fellowships

Back to the top