Java for AI: Leveraging Java Features for Competitive AI Solutions

Overview

Explore how Java's existing and upcoming features like Foreign Function API, Vector API, Project Valhalla, and Project Babylon can be leveraged to build competitive AI solutions in this JavaOne 2025 presentation.

Syllabus

• Introduction to Java for AI
Overview of Java in AI development
Key advantages of using Java for AI
• Java Features for AI
Foreign Function API
Interoperability with native languages
Use cases in AI applications
Vector API
Parallel computing with vector operations
Optimizing AI algorithms
Project Valhalla
Value types and performance enhancements
Impact on AI data structures
Project Babylon
Language enhancements for AI development
Future language features and their AI relevance
• Integrating Java AI solutions
Combining Java's features for efficient AI tasks
Example case studies and implementations
• Practical AI Development with Java
Setting up the environment for Java AI projects
Hands-on implementation of AI models in Java
• Performance Optimization in Java AI Solutions
Profiling and improving Java code for AI
Best practices for leveraging Java's capabilities
• Conclusion and Future Trends
Summary of Java's role in AI
Future trends in Java for AI development

---

Subjects

Programming