Machine Learning and AI DevCon and IoT DevCon 2018

June 5 - 6, 2018
Santa Clara Convention Center

The co-located IoT DevCon and the Machine Learning & AI DevCon will explore the hardware and software challenges of building and debugging the complex machine learning and artificial intelligence systems used in applications such as medical devices, robots, drones, point-of-sale equipment, industrial automation and others.

Come on Wednesday, June 6th and hear Synopsys experts present on the following topics:

Application-Specific Processors for Deep Learning Acceleration
Gert Goossens, Sr. Director of Engineering, Synopsys
Steve Cox, Sr. Manager Business Development Processor Technology, Synopsys
The embedded vision market has embraced deep learning algorithms based on convolutional neural networks (CNNs). This market is now shifting to higher-volume and lower-cost devices. High image resolutions and frame rates are pushing computational needs into the tera-ops/s range. Continuous improvement in CNN graphs and deep learning algorithms lead designers to require flexible (yet still efficient) implementations. Meanwhile, deep learning is also making its way into other application domains. For example, algorithms capturing dynamic temporal behavior in the form of recurrent neural networks (RNN) are being applied for sound processing and language translation systems. In such a dynamic environment, traditional SoC architectures with a microprocessor and hardwired accelerators no longer suffice. We will illustrate how application-specific processors (ASIPs) reconcile the needs for performance and flexibility, for both control (e.g. CNN/RNN activation) and data processing tasks (e.g. convolutions) in deep learning systems.

IP Extends IoT Into the Artificial Intelligence World
Ron Lowman, Strategic Marketing Manager, Synopsys
Today's requirement for sophisticated IoT capabilities is driving innovations in IP and SoC designs. Terabytes of data travel and are processed to drive features such as voice, motion, machine learning, embedded vision, and more. All of these features are also enabling and enhancing new markets such as artificial intelligence. Because of these reasons, designers are faced with new challenges such as connectivity range, security, memory, cost, and efficiency. This presentation explains how IP addresses such requirements for the new IoT market and enables the different IoT SoC architectures from wearables to smart cities to artificial intelligence. The presentation also highlights the ideal foundry process technologies for IoT SoCs.