Ultralytics Live Session 24: Simplifying Vision AI deployment at scale with Ultralytics and Intel!
Join us for Ultralytics Live Session 24 as we dive into how Ultralytics and Intel are unlocking real-time vision AI on Intel CPUs, GPUs, and NPUs, without rewriting code. In this session, we'll show you how to move from training to deployment in minutes. Export your Ultralytics YOLO model in a single command and deploy across Intel® hardware with sub-5 ms latency. See live benchmarks on Intel® Core™ Ultra series 3 processors and the complete workflow on the Ultralytics platform. Oversonic will also share real-world robotics use-cases and insights into deploying scalable, production-ready vision AI applications powered by Intel hardware.
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Speakers
Lakshantha Dissanayake
Embedded Computer Vision Engineer
Lakshantha Dissanayake is an Embedded Computer Vision Engineer at Ultralytics, where he advances the performance, scalability, and real-world deployment of state-of-the-art computer vision models. Based in Vancouver, Canada, he has years of experience working with embedded devices such as NVIDIA Jetson, Raspberry Pi, and Edge TPU, drawing on a prior role as an Application Engineer at Seeed Studio. He regularly produces technical content and runs workshops, and has delivered talks at events such as Maker Faire Shenzhen on using vision AI for sustainable solutions.
Francesco Mattioli
Partnerships & Ecosystem Manager
Francesco Mattioli is Lead Partnerships Engineer at Ultralytics, where he leads technical partnerships and works to make YOLO vision models run seamlessly everywhere, from small sensors and embedded systems to cloud platforms. With a background spanning cognitive neuroscience and machine learning in startups and academia, he focuses on the real-world deployment, performance, and scalability of state-of-the-art computer vision. He has represented Ultralytics at major industry events including CES 2026 and Mobile World Congress 2026 in Barcelona.
Dmitriy Pastushenkov
AI Product Manager
Dmitriy Pastushenkov is an experienced Software Product Manager at Intel with over 20 years of global experience in industrial automation, IIoT, real-time systems, and AI. Since joining Intel in 2022, he has focused on enabling smart edge technologies and currently works as a software product manager for OpenVINO and the AI PC Software Stack.
Claudia Speranza
Vision Manager
With a MSc in Mathematical Engineering, Claudia has five years of experience developing, training, and optimising AI vision models. She leads the Computer Vision department at Oversonic Robotics, where she oversees the development of perception systems, including computer vision and vision-language models (VLMs), that power RoBee across industrial and healthcare applications.