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Virtual Open House for Deep Learning for AI and Computer Vision

Title: Deep Learning for AI and Computer Vision
Date: Tuesday, April 16, 2024
Time: 12 PM EDT
Duration: 60 minutes
Instructor: Phillip Isola and Antonio Torralba

Computer vision is making waves in a range of industries: health care, automotive, media, security, and others. Robots, drones, and computer programs can “see” and learn from their dynamic environments.

Deep Learning for AI and Computer Vision, a four-day on-campus course led by MIT faculty Phillip Isola and Antonio Torralba, will teach engineers and data scientists how to build advanced computer vision applications and capitalize upon the latest advancements in smart vision systems and neural networks.

At this virtual open house, you will:

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About the Faculty

James L. Kirtley Jr.

Phillip Isola is an assistant professor in the MIT Department of Electrical Engineering and Computer Science. He received a bachelor’s degree in computer science from Yale University and a PhD in brain and cognitive sciences from MIT. Prof. Isola studies visual intelligence from the perspective of both minds and machines. He received a National Science Foundation (NSF) graduate fellowship as well as an NSF postdoctoral fellowship.

James L. Kirtley Jr.

Antonio Torralba is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), the MIT director of the MIT-IBM Watson AI Lab, and the inaugural director of the MIT Quest for Intelligence, a MIT campus-wide initiative to discover the foundations of intelligence.


Why MIT Professional Education?

MIT Professional Education delivers timely, relevant programs to a global audience of scientists, engineers, technicians, managers, consultants, and others from industry, government, the military, non-profit, and academia. The MIT Professional Education mission is to provide a gateway to renowned MIT research, knowledge and expertise for those engaged in science and technology worldwide, through advanced education programs designed for working professionals. The programs are delivered by MIT faculty and promote technical excellence through ongoing educational engagement with communities of practice. Under the leadership of the School of Engineering, MIT Professional Education supports the development of creative leaders equipped to address complex problems.

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