AI News, MIT EECS: Homepage artificial intelligence
- On 12. december 2019
- By Read More
Two departments team up to study human and artificial intelligence
The bachelor of science in computation and cognition (Course 6-9), approved by the faculty in April 2019, is designed to help students explore how the brain produces intelligent behavior and how it can be replicated in machines.
“The 6-9 major fulfills a growing educational need at the intersection of cognitive science, neuroscience, and computer science,” says James DiCarlo, BCS department head and the Peter de Florez Professor of Neuroscience.
It’s an incredibly exciting time for students to be educated in the foundations of these efforts and to participate in shaping the future of the science and engineering of intelligence.” Both DiCarlo and EECS department head Asu Ozdaglar noted that 6-9 also reflects Institute-wide enthusiasm for interdisciplinary initiatives such as the Quest for Intelligence and the new MIT Stephen A.
Anyone seeking to do novel research in artificial intelligence (AI) or machine learning will find it helpful to know “both how machines work and how humans make decisions and learn,” says Dennis M.
“Both perspectives are critical to transformational advances.” 'There’s a lot of shared interest around emerging new fields at the intersection of AI and cognitive science and of machine learning and brain science,” says Michale S.
The new major is expected to attract about 50 students annually, based on a survey of students already enrolled in BCS subjects focused on human cognition and computation, such as 9.66 (Computational Cognitive Science).
“There’s a big commercial push for these skills,” Freeman adds, noting that many of the methods used to help computers conduct “thinking” tasks — such as recognizing faces, driving cars, and even diagnosing diseases — are based on knowledge obtained studying humans.
“I think we’ve got a really great curriculum that provides that flexibility.” Freeman says the new major should prove a boon for students who might otherwise have double-majored in EECS and BCS, because few of the requirements of established majors overlap.
- On 24. september 2020
Architecture and Artificial Intelligence
A discussion by Julie Dorsey, Natasha Luthra and Douwe Osinga Moderated ..
AI and Future of Work: Opening Remarks and Open Plenary - Daniela Rus and Yann LeCun
Daniela Rus, Director, MIT CSAIL, and Professor, MIT EECS Yann LeCun, Director, Facebook AI Research, and Professor, NYU.
Why Artificial Intelligence Matters - Eric Schmidt
Eric Schmidt, Executive Chairman, Alphabet Host: Daniela Rus, Director, MIT CSAIL, and Professor, MIT EECS Recorded November 2nd, 2017.
Artificial Intelligence & The Future of Work - A Call to Action
Moderator: Kathleen Kennedy, Director, Special Projects, MIT Erik Brynjolfsson, Director, MIT Initiative on the Digital Economy, and Professor, MIT Sloan School ...
Computing for the People: Ethics and AI
Melissa Nobles, Kenan Sahin Dean of the MIT School of Humanities, Arts, and Social Sciences and a professor of Political Science offers an introduction to a ...
The MIT Challenge -- Learning 4 Years in 12 Months (Without Taking Classes)
Over the next 12 months I plan to learn MIT's entire 4-year curriculum for computer science, without taking any classes (or even being enrolled at MIT). You'll be ...
AI and Future of Work: Thinking Machines: Robots Rising
Daniela Rus, Director, MIT CSAIL, and Professor, MIT EECS Moshe Vardi, Professor, Computational Engineering, Rice University, and Director, Ken Kennedy ...
Fei-Fei Li: A Quest for Visual Intelligence in Computers
EECS Colloquium, UC Berkeley Wednesday, November 9, 2016 Captions available upon request.
Tutorial 3.3: Lorenzo Rosasco - Machine Learning Part 3
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: Instructor: Lorenzo ..