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Vivienne Sze

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Associate Professor

MIT Department of Electrical Engineering and Computer Science

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Vivienne Sze

Faculty Bio

Vivienne Sze is an associate professor in MIT’s Department of Electrical Engineering and Computer Science. 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. She is widely recognized for her leading work in these areas and has received many awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, and the IEEE Micro Top Picks Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-author of the book entitled “Efficient Processing of Deep Neural Networks”.

Courses

Digital Business

Leading the AI-Driven Organization

Artificial Intelligence

Digital Business & IT

Organizations & Leadership

Strategy & Innovation

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Leading the AI-Driven Organization
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STARTING

Jul 21–25, 2025

LOCATION

Cambridge, MA

DURATION

5 days

COMMITMENT

8 hours/day

TUITION

$12,900

STARTING

Jul 21–25, 2025

LOCATION

Cambridge, MA

DURATION

5 days

COMMITMENT

8 hours/day

TUITION

$12,900

Sep 22–26, 2025

Cambridge, MA

5 days

8 hours/day

$12,900

STARTING

Sep 22–26, 2025

LOCATION

Cambridge, MA

DURATION

5 days

COMMITMENT

8 hours/day

TUITION

$12,900

Nov 3–7, 2025

Cambridge, MA

5 days

8 hours/day

$12,900

STARTING

Nov 3–7, 2025

LOCATION

Cambridge, MA

DURATION

5 days

COMMITMENT

8 hours/day

TUITION

$12,900

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