As automated optical inspection moves from the server room to the factory floor, the promise of “seamless” AI deployment often hits the reality of hardware-specific friction. For embedded vision engineers, the challenge isn’t just training a high-accuracy model—it’s ensuring that […]
Embedded design teams are moving from edge AI evaluation to deployment and need production-ready, system-level solutions engineered for deterministic performance, security and low power. We’ll begin with an overview of four production-ready edge solutions spanning vision and non-vision use cases: […]
IV infusion is the method of delivering intravenous fluids or medications where fluid flows from an IV bag to the patient. IV infusions are one of the most common clinical procedures performed in hospitals, yet the underlying technology governing how […]
The next generation of AI agents is moving beyond cloud-based text-only models and will interact with the physical multimodal world in real time. In the vision domain, AI agents rely on vision-language models (VLMs) as their backbones. However, deploying massive […]
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 […]
The robotaxi market is ramping up quickly, with established companies rapidly expanding into new cities and new companies entering the market. At the same time, we’re seeing rapid innovation in the critical technologies that make robotaxis possible, such as more […]
In safety-critical computer vision applications such as medical diagnostics and autonomous driving, corrupted training data can be fatal. A famous example involves a dermatology AI that learned to identify rulers rather than tumors, a classic case of data poisoning. This […]
Many AI medical devices perform perfectly in the lab but fail in the field, for example due to “ungradable” images in the case of retina screening. This talk details the end-to-end engineering journey of a portable, regulatory-cleared retinal camera designed […]
Today’s edge AI hardware was built for CNNs, but vision language models (VLMs) have completely different bottlenecks—especially in safety-critical, latency-sensitive applications like in-cabin automotive intelligence. While CNN inference is stateless, parallel and compute-bound, VLMs introduce a large, growing KV cache […]
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