We’re all trying to move LLM-class intelligence onto edge cameras and sensors so video can be understood—and acted on—in real time. In this talk, we’ll explain why this is hard by contrasting the compute and memory behavior of CNNs versus […]

LightTwist is an interactive virtual video studio that fuses real-time computer vision with game engine rendering. In this talk, we share what we learned scaling a macOS prototype into a cloud system. We’ll start with our on-device pipeline: an optimized […]

Self-compression is a quantization-aware training technique to reduce neural network size and optimize performance for edge inference. By learning optimal bit depths for weights and activations during training, self-compression achieves significant reductions in memory footprint and bandwidth consumption while maintaining […]

The AI landscape has long been dominated by the “bigger is better” paradigm, but a significant shift is underway. Small language models (SLMs), generally defined as models with fewer than 10B parameters, are emerging as powerful, efficient and practical alternatives […]

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 […]