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 vision systems with the contextual understanding of vision‑language models (VLMs) fine‑tuned on domain‑specific document data. VLMs offer strong zero‑shot capabilities and semantic understanding, but limitations in precision and resource […]
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 other robots due to their dynamic stability, dexterity and need to operate safely in human-centric spaces. In this talk, we examine the sensing and compute challenges unique to humanoids. We’ll […]
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 […]
Defense systems often push edge processing and sensor performance to extremes, making them strong candidates for AI—but also exposing constraints that differ sharply from commercial deployments. This talk explains the unique technical and operational challenges of deploying AI for defense […]
Reliable localization and mapping are foundational for autonomous vehicles and robots, yet camera-centric systems often degrade in fog, rain, snow, glare or low light—exactly when robust perception is most critical. This talk explores radar-based simultaneous localization and mapping (SLAM) as […]
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, […]
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