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Ultralytics Meetup: London

Recap of the Ultralytics London meetup: A first look at YOLO27, Ultralytics Platform demos, and a vision AI panel with NVIDIA and Arm.

Zinnia PourdadZinnia Pourdad4 min read

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Recap of the Ultralytics London meetup: A first look at YOLO27, Ultralytics Platform demos, and a vision AI panel with NVIDIA and Arm.

On September 23, the Ultralytics team welcomed the vision AI community to our London office for an evening of live demos, discussions, and a look at what’s coming next in vision AI.

The after-work meetup brought together AI leaders, developers, engineers, Ultralytics YOLO contributors, customers, and people building with computer vision in the real world. It was also an opportunity to bring the energy of Ultralytics YOLO Vision 2026 (YV26) to our community in London.

A look at what’s next for Ultralytics#

Ultralytics Founder & CEO Glenn Jocher opened the evening with a look at the latest developments across Ultralytics, including the recently announced Ultralytics YOLO27 model family and updates to the Ultralytics Platform.

Attendees got a closer look at what’s coming with YOLO27, our next-generation computer vision models, as well as how the Ultralytics Platform brings the vision AI workflow together, from annotating and managing data to training and deployment.

The community also had the chance to get hands-on with the technology through live demos of Ultralytics YOLO and the Ultralytics Platform, exploring how computer vision can be built and deployed for real-world applications.

Glenn Jocher on stage at the Ultralytics London meetup

Fig 1. Ultralytics London Meetup. Glenn Jocher taking the stage. (Image source: Ultralytics)

Where vision AI goes next#

The evening continued with a panel talk exploring how vision AI is moving beyond perception and into products, physical systems, and new real-world applications.

Moderated by Craig Johnston, VP of Sales and Success at Ultralytics, the panel brought together Glenn Jocher, Founder & CEO of Ultralytics; Angus Siberry, PhD, Senior Developer Relations Manager, Metropolis, Physical AI at NVIDIA; Margot Bonilla, Applied R&D Engineer and Bioengineering Student; and Matthew Lowdon, Principal Product Manager at Arm.

Together, they explored vision AI from across the technology stack: from the models themselves to the hardware they run on and the environments in which they’re ultimately deployed. In Matthew Lowdon’s own words, “The more performance that we can get from the models on the edge, the more we have headroom for running the other processes.”

The conversation covered the evolution of Ultralytics YOLO as vision AI takes on increasingly complex real-time tasks, what machine vision can learn from biological systems, and how NVIDIA Metropolis and Physical AI are bringing vision into real-world environments.

On edge cases, Angus Siberry of NVIDIA said: “They don’t happen very often, and they’re the things you care about most because that's most likely when you want to know your system is going to behave the way it's supposed to when you need it to most.”

At the edge, the discussion looked at Arm’s work on YOLO performance on Raspberry Pi 5 and what increasingly capable models running on small, accessible devices could mean for where vision AI becomes practical.

The panel also looked beyond today’s applications: how small, fast vision models could work alongside larger vision-language models, whether the next major advances will come from models, data, sensors, or new ways of understanding the physical world, and the capabilities that could become commonplace over the next five years.

The "Where vision AI goes next" panel at the Ultralytics London meetup

Fig 2. Ultralytics London Meetup. Where vision AI goes next panel. (Image source: Ultralytics)

Connecting the vision AI community#

Beyond the sessions, the meetup was about bringing the community together.

Over food and drinks, attendees had the opportunity to meet Ultralytics YOLO contributors, developers, customers, partners, researchers, and others working across AI and computer vision. There were live demos to try, Ultralytics merchandise, and plenty of time to connect with the team and exchange ideas.

The meetup also came during a week when members of the Ultralytics team from the US and across Europe were together in London, including several new team members, making it another opportunity to bring our team and wider community together in person.

From the hybrid Ultralytics YOLO Vision to our London meetup, we’re continuing to create opportunities for the vision AI community to connect, share what they’re building, and explore where computer vision is heading next.

Want to see what’s next? Join the Ultralytics YOLO27 waitlist.

Written by

Zinnia Pourdad
Zinnia Pourdad

Global Events Manager · Ultralytics

Zinnia Pourdad is Global Events Manager at Ultralytics, where she leads the planning and delivery of the company's global events, including Ultralytics YOLO Vision and its presence at industry gatherings. Based in London, she holds a Bachelor's degree in Human Geography from Queen Mary University of London. Her earlier career includes agency-side event management, where she was account manager for Tata Consultancy Services, followed by event and operations roles at CluedIn and OneTrust.

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