This event focuses on the practical challenges of developing and deploying AI in real-world, edge environments. It is intended for practitioners and researchers interested in the trade-offs involved when AI operates with spatial data and limited computational resources. Attendees can expect discussions on topics such as managing uncertainty in VLM outputs for cartography and optimizing AI models for resource-constrained edge devices. Real-world examples will illustrate strategies for data handling and model design in these demanding scenarios.

Listed on Luma. Full details and registration on Luma

Summary AI-generated; content may not always be accurate.