Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial recognition for access control. Laptop, tablet and cellphone users expect hands-free and instantaneous facial recognition. […]
The need for IoT edge applications has never been greater. But complex requirements and unique connectivity, security, and latency challenges impede progress and extend time to market for software developers. In addition, many solution developers face the challenge of scaling […]
As AI applications continue to proliferate and compute moves to the edge, companies are pressured to move quickly through the development and optimization process and deploy at lower and lower costs. In this session, we’ll explore how companies are decreasing […]
When developing an edge AI solution, DNN inference performance is critical: If your network doesn’t meet your throughput and latency requirements, you’re in trouble. But accurately measuring inference performance on target hardware can be time-consuming—just getting your hands on the […]
Have you ever been inspired by a new AI research paper and tried to replicate it using open source code, only to end up with a “bricked” development system? This is a common experience. The AI ecosystem is fragmented; many […]
As AI applications at the edge become pervasive, there’s growing interest in deploying AI on standard hardware platforms such as general-purpose CPUs. But are CPUs sufficient? In this roundtable discussion, we’ll explore the question: Does AI really require GPUs and […]
New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras. Synaptics has embarked on a roadmap of edge-AI DNN processors […]
This talk introduces a new method for object detection for consumer goods and other applications based on measuring an object’s illumination invariant fluorescent chroma. Chroma is a measure of the colorfulness of an object relative to a similarly illuminated white […]
Contextual awareness is the ability of a system to gather information about its environment and adapt behaviors accordingly. Contextual awareness is enabling enriched user experiences in applications like XR, robotics and automotive. It requires the processing of data from multiple […]
As edge AI is growing across different markets and entering more products, discussions about realizing product and application goals are growing in importance. This presentation will explore how product and application goals are being met in real-world applications by examining […]
