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 […]
(Time Blocks)
Self-compression is a quantization-aware training technique to reduce neural network size and optimize performance for edge inference. By learning optimal bit depths for weights and activations during training, self-compression achieves significant reductions in memory footprint and bandwidth consumption while maintaining […]
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. We’ll present FotoNation’s heterogeneous, […]
Transformers have become the foundation of modern AI, reshaping how products are built and how businesses operate. In this talk we will explain why transformers replaced earlier models, what makes them highly scalable and how they expanded from language systems […]
March 3, 2026
• walker
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 […]
March 3, 2026
• walker
The AI landscape has long been dominated by the “bigger is better” paradigm, but a significant shift is underway. Small language models (SLMs), generally defined as models with fewer than 10B parameters, are emerging as powerful, efficient and practical alternatives […]
March 3, 2026
• walker
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 […]
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 […]
February 27, 2026
• walker
An industrial vision AI pilot gets launched. Expectations are high. But something goes wrong. Why? Kasper De Smaele shares lessons learned from implementing vision AI for the largest industrial companies in the world, in applications ranging from in-line quality control […]
February 27, 2026
• walker
Physical retail remains one of the least digitized large-scale industries, leaving a “visibility gap” that drives operational inefficiencies and lost sales. Closing this gap requires economically viable store digitization. In this session, Kishor Taywade will explore how capturing in-store data […]
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