Session Length 40 Minutes
About This Webinar:
Join us for a groundbreaking webinar, where we unravel the mysteries behind the algorithms revolutionising the field of computer vision.
This unique event is tailored to those who are passionate about staying at the forefront of the ever-evolving IT and data science landscape. We delve into the cutting-edge advancements in computer vision and the algorithms that lie at its core.
During this eye-opening webinar, our expert speaker will guide you through the fascinating realm of computer vision algorithms. Explore the latest advancements and share real-life examples that showcase the transformative impact of these algorithms in various industries.
Date and Time:
- Date: Wednesday 28th June 2023
- Time: 14:00 UK Time
- Location: Super User Network – Artificial Intelligence Group
What You’ll Learn:
- Deepen your understanding of computer vision algorithms and their critical role in AI
- Learn how to leverage computer vision algorithms to extract valuable insights, detect patterns, and make informed decisions from visual data
- Explore real-world applications of computer vision algorithms across industries
- Connect with like-minded professionals and expand your network within the vibrant community of AI enthusiasts and computer vision experts
Xiaohao Cai is a Lecturer (Assistant Professor equivalent) in the School of Electronics and Computer Science at the University of Southampton. He received his PhD degree in mathematics from The Chinese University of Hong Kong in 2012, and he has since been a Postdoctoral Researcher at the Department of Mathematics of the Technische Universitat Kaiserslautern in Germany, a Wellcome Trust Research Fellow affiliated with the Department of Plant Sciences and Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, and a Research Fellow in the Mullard Space Science Laboratory (MSSL) at University College London (UCL).
His research focuses on applied mathematics, statistics, and computer science with applications in image/signal/data processing, optimisation, machine learning and computer vision.