In this presentation, we will explore performance optimizations in image processing and analysis in Java Spring applications. We will delve into the world of Virtual Threads, a new concurrency feature in Java 19, which enables developers to write lightweight and efficient concurrent code. You will learn how to leverage Virtual Threads to scale your image processing tasks, improving overall application performance. Furthermore, we will discuss the importance of efficient streaming techniques for handling large datasets and real-time image processing. You will discover how to apply these techniques in your Java Spring applications, resulting in faster data transfer rates, reduced latency, and improved user experience. In addition, we will touch on some innovative approaches to accelerate image processing using Large Language Models (LLMs). While the focus is on Java Spring, you'll gain insights into the future of image analysis and how it can be integrated into your applications.

By the end of this presentation, you will have gained a comprehensive understanding of:

- The benefits of Virtual Threads in improving concurrency and performance

- Efficient streaming techniques for real-time image processing

- Potential ways to integrate Large Language Models with Java Spring applications

Join us to learn more about image processing and streaming in a Java Spring application, while also leveraging the capabilities of LLMs for image analysis.