During this walkthrough session, attendees will learn how they can go from an initial concept/architecture of an embedded vision design to demonstrating application and algorithm feasibility using off-the-shelf prototyping systems from Avnet and Xilinx. The session will demonstrate key steps […]
Qualcomm is leading the way in distributed intelligence. Our vision is to make all devices increasingly intelligent, giving them the ability to perceive their surroundings, to reason based on data and then to act. In this talk, you’ll learn about […]
Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the last decade, FPGAs have evolved into highly configurable devices that provide on-chip heterogeneous […]
With ever-increasing amounts of video and other sensor data, and growing requirements for privacy and low latency, inferencing at the edge is increasingly attractive. But there are many ways to allocate and coordinate computing resources for edge inferencing. For example, […]
To date, people seeking to deploy machine learning-based inference within consumer electronics have had only two choices, both unattractive. The first option entails transmitting voluminous raw data, such as video, to the cloud, potentially violating customers’ privacy, tempting hackers, and […]
