As computer vision workloads grow in scale and complexity, developers need high-performance, cost-efficient infrastructure to keep pace. In this session, OpenCV and AWS present Cloud Optimized OpenCV (COOL), an exclusive hardware-aware distribution of OpenCV built specifically for Arm-based AWS Graviton […]
Edge AI system developers often assume that AI workloads require a GPU or NPU. But when cost, latency, complex I/O or tight power budgets dominate, FPGAs offer compelling advantages. In this talk we’ll explore how FPGAs serve not just as […]
Your computer vision prototype works beautifully: USB camera on a Jetson dev kit, software humming, investors impressed. Production isn’t that convenient. It brings MIPI‑CSI buses, custom kernel drivers, device‑tree overlays—and complexity most teams meet too late. This talk walks the […]
Deployment of neural networks at the edge is often constrained by the rigidity and integration cost of domain-specific accelerators. In this talk, we address the “efficiency wall”: when an accelerator optimized for one architecture (e.g., CNNs) runs another (e.g., transformers), […]
Always-on perception is becoming a defining capability of next-generation edge devices, from AR glasses and hearables to battery-operated sensors. Yet continuous audio/video and motion understanding runs into two hard limits: energy per inference and memory bandwidth. In this talk, we […]
In this presentation, we provide a practical end-to-end overview of the AMD Vitis AI workflow for deploying deep learning models on AMD adaptive SoCs for embedded and edge systems. These platforms are well suited for tasks like object detection and […]
In this talk, we’ll explore the evolution and implementation of multimodal generative AI at the edge targeting physical AI applications, including autonomous vehicles and humanoid robots. We’ll outline the challenges and trade-offs for implementing multimodal generative AI on resource-constrained systems […]
In this talk, we’ll explain everything you need to know to build your own voice agent running entirely on a stock Raspberry Pi 5, with no internet connection required. The end result will be a system that enables you to […]
World-scale vision-language-action (VLA) models are the new frontier in AI for autonomous driving and robotics, enabling systems to perceive, reason and act in complex real-world environments. Using the open-source Pi-0.5 model as an exemplar, we will review the structure of […]
Invertible Light Technology (ILT) is a physics- and geometry-based depth-sensing approach designed for low algorithmic overhead. Unlike compute-heavy or correlation-intensive methods, ILT performs depth reconstruction using deterministic, invertible math, enabling depth estimation with minimal compute, small memory footprint and predictable […]
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