Join our in-person meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision.

Underwater robots are essential tools for ocean exploration. This presentation will explore new technology in robotics and artificial intelligence that can enable automated detection of shipwreck sites from sonar data collected from autonomous underwater vehicles (AUVs). We will also discuss our recent work on underwater mapping and 3D reconstruction towards real-time dense mapping of shipwreck sites from sonar and camera imagery. Results will be demonstrated on data from field trials in Thunder Bay National Marine Sanctuary in Lake Huron.

Modern mobility systems rely on massive, high-quality multimodal datasets — yet real-world data is messy. Misaligned sensors, inconsistent metadata, and uneven scenario coverage can slow development and lead to costly model failures. The Physical AI Workbench, built in collaboration between Voxel51 and NVIDIA, provides an automated and scalable pipeline for auditing, reconstructing, and enriching autonomous driving datasets.

In this talk, we’ll show how FiftyOne serves as the central interface for inspecting and validating sensor alignment, scene structure, and scenario diversity, while NVIDIA Neural Reconstruction (NuRec) enables physics-aware reconstruction directly from real-world captures. We’ll highlight how these capabilities support automated dataset quality checks, reduce manual review overhead, and streamline the creation of richer datasets for model training and evaluation.

Attendees will gain insight into how Physical AI workflows help mobility teams scale, improve dataset reliability, and accelerate iteration from data capture to model deployment — without rewriting their infrastructure.

Current in-cabin monitoring systems react to distractions and drowsiness after they occur. Cabin AI: Predictive Safety introduces a paradigm shift using multi-modal sensor fusion and deep learning to anticipate dangerous states before they manifest. By analyzing driver gaze, occupant behavior, and physiological signals, these systems predict impairment, distraction, and risky activities with over 95% accuracy, meeting stringent Euro NCAP 2025 requirements. This proactive approach not only prevents accidents but builds passenger trust in autonomous vehicles. Discover how predictive algorithms are transforming cabin sensing from a compliance checkbox into a core safety differentiator.

This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines.