"Java 25 includes updates aimed at applications leveraging AI capabilities. According to Arnal Dayaratna, research vice president for software development at IDC, "As Java embarks on its fourth decade, it continues to deliver features to help ensure that applications, including those powered by and integrated with AI capabilities, will be highly efficient and scalable in hardware platforms." These enhancements support developers in building applications that can integrate machine learning and AI frameworks more effectively."
"Oracle emphasizes accessibility and ease of adoption with the Java 25 release. Chad Arimura, vice president of developer relations at Oracle, highlighted the "paving the on-ramp" initiative. This approach provides a smooth entry point for new developers, avoiding the steep learning curve associated with traditional Java. The goal is to offer guidance and tools that allow developers to learn efficiently without needing to unlearn simplified concepts when transitioning to full Java."
Java 25 delivers thousands of improvements focused on productivity, performance, stability, and security while offering long-term support for enterprise deployments. The release adds targeted updates for AI-enabled applications, including updated APIs and libraries that support neural networks, data preprocessing, and model deployment. Interoperability with TensorFlow and PyTorch is improved to enable smoother AI solution deployment without extensive adaptation of existing applications. The release includes a "paving the on-ramp" initiative that provides interactive tutorials, code samples, and structured learning paths to help new developers learn core Java concepts and transition to full Java without needing to unlearn simplified approaches.
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