Synopsys & Vision SoCs for the Edge

Are you developing smart SoCs for gesture recognition, facial recognition, ADAS, or other AI and vision applications? Synopsys’ seminar includes sessions on implementing artificial intelligence, machine learning, and computer vision into SoCs, all aimed to help you develop vision chips for edge applications. 

The seminar provides a deep dive into always-on, low-power applications, implementing gesture recognition, system-level architecture exploration, SLAM implementations, and securing sensitive information (from algorithms to biometric data). You’ll learn about optimizing bandwidth, performance, power, and area for designs from 1 TOPS to 100 TOPS. 

Topics include:

• Accurate power modeling
• Radar, LiDAR & vision sensor fusion
• TensorFlow, PyTorch, OpenCV, ONNX
• Developing SoCs for intelligent SLAM applications
• Automotive safety and security from the SoC level

You’ll learn about:

• Latest trends in embedded vision, computer vision, and machine learning
• System-level architecture exploration to optimize power at every stage of the design cycle
• Ecosystem partners supporting automotive, consumer, and mobile applications
• Synopsys DesignWare ARC IP for advanced, intelligent vision SoCs 

Who should attend:

• SoC design engineers and engineering management using embedded processors for deep learning/artificial intelligence in vision applications.

NOTE:  Synopsys approval and a business email address is required for registration. You will be contacted in a subsequent email if you are not approved. 

Date/Time:  September 16 and 18 –  9:00 am – 12:00 pm PT

Cost: $25