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Beginnt 4 June 2026 11:36

Endet 4 June 2026

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Java for AI: Leveraging Java Features for Competitive AI Solutions

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.
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Java

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44 minutes

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Übersicht

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.

Lehrplan

  • 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

Fachgebiete

Programming