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, […]
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 […]
Generative AI has accelerated the automation of complex digital tasks, and now multimodal perception and reasoning make embodied AI the next frontier. This shift brings adaptive reasoning into the physical realm, enabling natural interaction between humans and intelligent machines, from […]
Voice is quickly becoming the primary interface for consumer and enterprise devices, driven by improved speech models, small language models and the push for on-device processing to reduce latency and protect privacy. Delivering this experience requires always-on voice and audio […]
Physical AI is caught between two computational titans: autoregressive (AR) transformers, which predict discrete action tokens, and diffusion transformers (DiTs), which refine continuous motion trajectories. Both architectures face a “memory wall,” but for different reasons: AR is bottlenecked by the […]
Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how to go from prototype to safe, compliant, large-scale deployment—thousands to millions of devices—without drowning in integration work and life-cycle risk. In this […]
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