MONDAY June 03, 3:30pm - 5:00pm | N264
TOPIC AREA: IP, MACHINE LEARNING/AI
KEYWORD: EMERGING TECHNOLOGIES, ARCHITECTURE & SYSTEM DESIGN
EVENT TYPE: IP TRACK
SESSION 9
Power Efficient IPs for AI
Moderator:
Richard Nass - Embedded Computing Design, New York City, NY
Organizer:
Farzad Zarrinfar - Mentor, A Siemens Business, Freemont, CA
Artificial intelligence (AI) is part of your future. A big boon to AI comes in the form of power-efficient IP that finds its way into SoCs developed for IoT Edge devices, as AI-based SoCs will have ability to make intelligent decisions and take independent action based on data collected and analysis performed by the IoT machine. New AI applications will be enabled by power-efficient IPs, enhancing functions like speech recognition, language translation, image recognition, machine learning acceleration, and pattern matching. Join us for this lively discussion on the present and future of these new technologies.

Panelists:
Aditya Mukherjee - Microsoft Corporation, Mountain View, CA
Jay Hu - Dinoplus AI, Fremont, CA
Art Swift - Wave Computing, Santa Clara, CA
Mike Li - NovuMind Inc., Santa Clara, CA
Chris Shore - Arm, Ltd., Cambridge, United Kingdom

Thank you to our IP Track Sponsor: