Most vision AI systems that work in the lab fail when deployed across hundreds of real-world locations. At Intuitivo, we operate 2,000+ autonomous points of purchase across enterprise locations, including Tesla, Microsoft, Walmart and Bank of America facilities, processing over […]
Vision-language models (VLMs) are moving into practical computer vision applications, but we’ve found that model accuracy benchmark scores rarely translate to production success—especially in real-world and edge deployments. In this talk, we’ll walk through the failure modes we see most […]
Consumer LiDAR scanning is easy; converting noisy, incomplete phone scans into engineering-grade building models is not. In this talk, we share what we learned converting 150M+ square feet of iPhone/iPad scans into clean, structured geometry with semantic labels. We’ll break […]
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 […]
In this talk, we will explain how agentic systems can learn from experience to understand and edit images within a unified workflow. We will highlight core capabilities—including high-level intent understanding, grounded region-level editing and multistep planning—that enable users to perform […]
As small language and multimodal models improve, a practical question is emerging for product teams: have we hit a “good enough” quality threshold for embeddable AI, and what are the lowest-cost SoCs that can actually run these models end-to-end? In […]
The next evolution of intelligent document processing lies in combining traditional discriminative vision systems with the contextual understanding of vision‑language models (VLMs) fine‑tuned on domain‑specific document data. VLMs—originally developed as general‑purpose models—offer strong zero‑shot capabilities and semantic understanding, but their […]
Traditional computer vision excels at answering “what is in the image,” but many real systems need “what is happening” and “what will happen next.” World models address this by maintaining an internal, temporally consistent representation of the environment and using […]
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 […]
Battery-powered wireless vision sensors can reduce installation cost and enable deployments where external power is impractical. But once we add edge AI for on-device image processing—both to protect privacy and to minimize bandwidth—the power budget becomes the central design constraint […]
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