As AI moves into the physical world, the industry faces a choice: keep innovation locked behind complex, closed systems—or open it up. Arduino has chosen openness, enabling millions of builders to create physical AI systems that sense, think and act […]
2:40 PM
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 […]
February 13, 2026
• walker
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 […]
February 9, 2026
• walker
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 […]
Humanoid robots have unique perception and compute requirements relative to wheeled or fixed-base robots due to their dynamic stability, dexterity and need to operate safely in human-centric spaces. In this talk, we examine the sensing and on-device compute challenges unique […]
Deep learning has transformed many aspects of computer vision, including object detection, enabling accurate and efficient identification of objects in images and videos. However, choosing the right deep neural network-based object detector for your project, particularly when deploying on lightweight […]
February 4, 2026
• walker
Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how to go from a prototype to a safe, compliant, large-scale deployment—on thousands to millions of devices—without drowning in integration work and life-cycle […]
January 26, 2026
• jolene
In this session we’ll provide a comprehensive introduction to the three fundamental auto algorithms (3A) that enable high-quality imaging in embedded camera systems: auto-exposure (AE), auto-focus (AF) and auto-white-balance (AWB). We’ll explain the core principles and logic behind each algorithm, […]
January 22, 2026
• walker
Large language models are powerful but often impractical for embedded and on-prem systems due to latency, cost, privacy and memory constraints. Small language models (SLMs)—typically comprised of single-digit billions of parameters or less—offer a deployable alternative but require different expectations […]
Natural language video search—“find the man in the green hoodie riding a bike”—can turn a camera network from passive recording into a proactive investigation tool. But brute-force approaches fail: cloud processing of streaming video is cost- and bandwidth-prohibitive at scale, […]
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