Join Mark Jamtgaard, Director of Technology at RetailNext, and Sally Ward-Foxton, Senior Reporter for EE Times, in a live onstage interview focusing on how to evaluate and select processors for edge AI and computer vision products when the goal is […]
We’re all trying to move LLM-class intelligence onto edge cameras and sensors so video can be understood—and acted on—in real time. In this talk, we’ll explain why this is hard by contrasting the compute and memory behavior of CNNs versus […]
Modern physical security is shifting from reactive, human-dependent models to a proactive stance powered by agentic AI—artificial intelligence capable of independent reasoning and multistep action. This session explores how traditional “jobs to be done” in security, such as detection and […]
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 […]
Earning trust in autonomous driving requires more than building state-of-the-art models—it demands a safety focus that spans hardware, software and comprehensive validation as a whole. In this talk Chen Wu presents Waymo’s approach to AI safety, from the on-vehicle sensing […]
Visual AI is now central to many real-time and safety-critical embedded systems. In this introductory talk, we explain the foundation of how deep learning enables modern computer vision, starting with what images and video look like to a machine (tensors […]
Most edge vision deployments fail not because of model architecture, but because real-world training data is structurally incomplete. Sampled data can’t cover combinatorial edge cases, forcing perpetual retraining cycles that break embedded deployment, explainability requirements and silicon viability. In this […]
The transformer architecture revolutionized the field of AI and serves as the basis for current state-of-the-art large language models. Yet, transformer networks struggle with the quadratic complexity of long sequences, a critical bottleneck for high-resolution embedded vision. In this talk, […]
Segmentation is fundamental to edge vision—from drivable surface detection to industrial inspection. But how do different approaches actually perform on resource-constrained hardware? This session benchmarks segmentation models across NVIDIA Jetson, NXP i.MX, Kinara NPU and Raspberry Pi with Hailo acceleration, […]
Unimodal vision systems are powerful but limited when users need flexible queries, richer semantics or reasoning that combines images/video with language. Vision-language models (VLMs) address this gap by jointly training visual and text encoders to align their representations, enabling tasks […]
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