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Nov 14 - NYC Physical AI Workshop and Meetup at Kimmel Center for University Life

Nov 14 - NYC Physical AI Workshop and Meetup

Participants work with a robotics dataset, curate frames, explore embeddings, auto-label objects and fine-tune a YOLO11n detector. The listing also includes networking, food, drinks and lightning talks.

AI summary · From the event listing

November 14, 2026 · 1:30 PM – 4:30 PM

Kimmel Center for University Life, 60 Washington Square S, New York ·

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The hands-on workshop uses a robotics dataset and trains a YOLO11n detector live, followed by networking, food, drinks and lightning talks.

AI · From the event listing

Organizer’s description

Join us at NYU on Nov 14 for the NYC Physical AI Workshop and Meetup, co-presented by Nebius and Voxel51. Seats are limited, Pre-registration is mandatory. Date, Time and Location Nov 14, 2026 1:30 PM - 4:30 PM NYU Kimmel Center - Room 914 60 Washington Square South New York, NY 10012 Meetup Agenda *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 detector * Explore a real DROID robotics recording in FiftyOne's native multimodal MCAP viewer: camera, proprioception, and language on one synced timeline, no ROS install required * Curate: extract and browse frames from the recording, filter and deduplicate * Compute 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 objects * Train: 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 —…

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