Description:
Most AI algorithms created for edge applications are initially developed on workstations. Developers then often struggle to get these workloads running on edge devices. This holds true for a wide range of applications, from IoT to automotive to XR to mobile to compute.
The Qualcomm AI Stack streamlines the path from initial algorithm development to edge deployment. The Qualcomm AI Stack makes it easy to retarget algorithms to edge hardware by supporting frameworks and data types that AI developers are familiar with. And it provides a set of tools that empower developers to extract the best performance and energy efficiency from their target hardware.
In this session, we will walk you through the steps of building a sample Android application for AI-based image super resolution using the Qualcomm AI Stack. Through this sample app, we’ll show how applications built with AI runtimes utilize hardware optimizations for Qualcomm devices. We will also share tips and tricks on quantization, explore how model accuracy affects performance and power, and outline the tooling that helps developers successfully implement new AI capabilities in their products.
Presenter
Felix Baum
Senior Director of Product Management, AI and Hexagon Software
Qualcomm Technologies
Felix Baum is responsible for AI Software Products at Qualcomm Technologies Inc. (QTI). Felix has spent 20+ years in the embedded industry, both as an embedded developer and as a product manager. He previously managed QTI Product Management for the Hexagon Software supporting DSPs with scalar, vector and tensor accelerators for camera, video, machine learning and audio verticals. Prior to that, he led marketing and product management efforts for various real-time operating system technologies at Mentor Graphics and Wind River Systems. His career began at NASA’s Jet Propulsion Laboratory at the California Institute of Technology, designing flight software for various spacecraft and managing integration for a launch campaign of the GRACE mission. Felix holds a master’s degree in computer science from the California State University at Northridge and a Master of Business Administration from the University of California at Los Angeles.
Hardware Requirements
Laptop
Location
Santa Clara Convention Center – Room 209/210
Refreshments
Coffee and pastries will be provided
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