Participation in Ultralytics YOLO Vision Event: The Future of AI
Oct 26, 2025
Event
Dr. Huidong Bai and Dr. Luyao Xia attended the Ultralytics YOLO Vision event, which focused on advancements in real-time object detection and computer vision. The keynote highlighted the gap between AI's ability to "think" (via LLMs) and its limited capacity to visually perceive the physical world—a trillion-dollar challenge that Ultralytics addresses through their YOLO models. The team participated in workshops and technical discussions on industrial deployment, edge computing optimization, and networked with researchers to explore applications for ongoing projects.
Recently, Dr.Huidong Bai and Dr.Luyao Xia from our research group had the privilege of attending the Ultralytics YOLO Vision event. This gathering brought together computer vision experts, developers, and industry leaders to discuss the latest advancements in YOLO (You Only Look Once) architecture and the broader challenges of Artificial Intelligence. The event highlighted the rapid evolution of real time object detection and the transition from AI that simply "thinks" to AI that can truly "see" and understand the physical world.
The keynote presentation delivered a compelling message: “AI can think — but it still can't see or understand the world around it. And it is a trillion-dollar problem.” The speaker emphasized that while Large Language Models (LLMs) have revolutionized how AI processes text and "thinks," the capability for machines to visually perceive and interpret complex environments in real-time remains a massive frontier. Ultralytics aims to solve this through their state-of-the-art YOLO models, making computer vision accessible and faster than ever before.
Beyond the presentations, the event featured interactive sessions and a dedicated Workshop Area. Our team engaged in technical discussions about the deployment of YOLO models in industrial scenarios, edge computing optimization, and the future roadmap of the Ultralytics ecosystem.It was an excellent opportunity to network with fellow researchers and developers, exchanging ideas on how to apply these vision technologies to our ongoing projects.
