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Virtual Open House for Designing Efficient Deep Learning Systems

Title: Designing Efficient Deep Learning Systems
Date: Thursday, April 18, 2024
Time: 12 PM EDT
Duration: 30 minutes
Instructor: Vivienne Sze

The stakes are high when implementing deep learning. Whether in computer vision, speech recognition, or robotics, deep learning requires efficient hardware systems to operate optimally and at scale. Engineers can get lost in the computational complexity of deep learning, so confidence in the foundations and trends of deep learning are essential to deploying the technology effectively across an organization.

Designing Efficient Deep Learning Systems, a two-day on-campus course led by MIT associate professor Vivienne Sze, will teach engineers and developers how to design and build deep learning systems. Starting from the foundations and moving into trends in efficient processing techniques, participants will leave with a better understanding of various deep learning architectures and be able to evaluate which custom hardware is most relevant to their organization.

At this virtual open house, you will:

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About the Faculty

Vivienne Sze

Vivienne Sze is an associate professor in MIT’s Department of Electrical Engineering and Computer Science and leads the Research Lab of Electronics’ Energy-Efficient Multimedia Systems research group. Her group works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things.


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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