Rajy Rawther, PMTS Software Architect at AMD, presents the “Is Your AI Data Pre-processing Fast Enough? Speed It Up Using rocAL” tutorial at the May 2022 Embedded Vision Summit. AMD’s rocAL (ROCm Augmentation Library) is an open-source library for decoding and augmenting images, video and audio to accelerate the loading and preprocessing of data for […]
Nico Galoppo, Principal Engineer (substituting for Ansley Dunn, Product Marketing Manager), and Ryan Loney, Technical Product Manager, both of Intel, present the “Optimization Techniques with Intel’s OpenVINO to Enhance Performance on Your Existing Hardware” tutorial at the May 2022 Embedded Vision Summit. Whether you’re using TensorFlow, PyTorch or another framework, Galoppo and Loney show you
Richard Chuang, Principal AI Engineer at Intel, presents the “Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform” tutorial at the May 2022 Embedded Vision Summit. As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does
Cheng Wang, Senior Vice President and Co-founder of Flex Logix, presents the “High-Efficiency Edge Vision Processing Based on Dynamically Reconfigurable TPU Technology” tutorial at the May 2022 Embedded Vision Summit. To achieve high accuracy, edge computer vision requires teraops of processing to be executed in fractions of a second. Additionally, edge systems are constrained in
Randy Allen, Vice President of Software at Flex Logix, presents the “Flex Logix InferX X1: Pairing Software and Hardware to Enable Edge Machine Learning” tutorial at the May 2022 Embedded Vision Summit. Machine learning is not new—the term was first coined in 1952. Its explosive growth over the past decade has not been the result
Vinesh Sukumar, Senior Director and Head of AI/ML Product Management at Qualcomm, presents the “Future of AI is Here Today: Deep Dive into Qualcomm’s On-Device AI Offerings” tutorial at the May 2022 Embedded Vision Summit. As a leader in on-device AI, Qualcomm is in a unique position to deliver optimized and now personalized AI experiences
Ahmed Sadek, Senior Director of Engineering at Qualcomm, presents the “Autonomous Driving AI Workloads: Technology Trends and Optimization Strategies” tutorial at the May 2022 Embedded Vision Summit. Enabling safe, comfortable and affordable autonomous driving requires solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior
Judd Heape, Vice President of Product Management for Camera, Computer Vision and Video Technology at Qualcomm, presents the “Tools for Creating Next-Gen Computer Vision Apps on Snapdragon” tutorial at the May 2022 Embedded Vision Summit. The Snapdragon Mobile Platform powers the world’s best smartphones, XR headsets, PCs, wearables, cars and IoT products. Thanks to Snapdragon,
Megha Daga, Senior Director of Product Management for AIoT at Qualcomm, presents the “Seamless Deployment of Multimedia and Machine Learning Applications at the Edge” tutorial at the May 2022 Embedded Vision Summit. There has been an explosion of opportunities for edge compute solutions across the internet of things. This growth in opportunities and the diversity
Felix Baum, Director of Product Management at Qualcomm, presents the “Practical Guide to Getting the DNN Accuracy You Need and the Performance You Deserve” tutorial at the May 2022 Embedded Vision Summit. Every day, developers struggle to take DNN workloads that were originally developed on workstations and migrate them to run on edge devices. Whether
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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