Stuttgart Physical AI Workshop and Meetup - September 22, 2026
A physical AI workshop and meetup co-presented by Nebius and Voxel51. Lightning talks are followed by practical work with robotics data and vision models in FiftyOne; participants need a laptop for the workshop.
We present an automated pipeline for estimating building-level heating demand from heterogeneous urban data sources, without requiring on-site audits.
The system extracts the physical building parameters required by the DIN 18599 monthly heat balance standard from three complementary sources: street-level imagery processed through a facade analysis pipeline, cadastral records from the German real estate register, and three-dimensional building models.
The aggregated features are passed to machine learning models that predict the physical inputs to a deterministic DIN 18599 calculation, producing EPBD-compliant heating demand estimates at urban scale.
The target applications include municipal heat planning under Germany's Heat Planning Act (Wärmeplanungsgesetz), renovation potential screening in support of EPBD Minimum Energy Performance Standards, and ESG-driven portfolio risk assessment for financial institutions operating under EU Taxonomy reporting requirements.
By removing the dependency on costly on-site audits, this project makes systematic building energy assessment viable at the resolution and pace that current climate and regulatory mandates demand.
Frontier LLMs turn the knob on embedded development productivity up to 11. We’ll explore how AI-assisted workflows can accelerate optimization of modern vision models for resource-constrained edge hardware, using YOLO11 deployment across Jetson Nano and Zynq UltraScale+ SoCs as a practical example. In particular, we’ll look at identifying and evaluating efficient alternatives to computationally expensive operations such as the SiLU activation function when targeting limited FPGA resources, and how LLMs can help navigate the tradeoffs between model accuracy, latency, and hardware utilization throughout the embedded development cycle.
Networking and Meetup
5:30–6:30 PM
Networking, food, drinks, and lightning talks
Workshop Agenda
This hands-on session uses DROID, a real-world robotics dataset loaded into FiftyOne as a native multimodal MCAP recording, and YOLO11n, fine-tuned live during the session.
6:30–7:30 PM
Welcome + framing: from raw robot logs to a trained detectorExplore a real DROID robotics recording in FiftyOne's native multimodal MCAP viewer: camera, proprioception, and language on one synced timeline, no ROS install requiredCurate: extract and browse frames from the recording, filter and deduplicateCompute embeddings on the curated frames; explore via similarity search and embeddings visualization (via Nebius Serverless AI Jobs)
7:30–8:00 PM
Auto-label: open-vocabulary detection to generate bounding boxes for the robot gripper and target objectsTrain: fine-tune a YOLO11n detector on the auto-labeled frames (via Nebius Serverless AI Jobs)Evaluate results and close the loop: view predictions back on the original MCAP timeline
8:00–8:30 PM
What else Nebius offers: Token Factory walkthrough — chat/vision models, fine-tuning, credits
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sponsors
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attendees
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agenda
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Sources
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Published schedule: 5:30 PM - 8:30 PM CEST. Exact time and timezone withheld because organizer abbreviations are not independently reconciled. Full biographies/abstracts retained in immutable HTML receipt. Sponsor, exhibitor and attendee lists not inferred from speaker employers. Session local day: the published single-day event page groups these agenda items/talks on 2026-09-22. Exact times remain unknown where timezone labels are unresolved.