Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

Abstract: This paper presents FUNDED (Flow-sensitive vUl-Nerability coDE Detection), a novel learning framework for building vulnerability detection models. Funded leverages the advances in graph ...

Java has remained one of the most reliable and in-demand programming languages for over two decades. In 2026, its relevance is stronger than ever — powering enterprise systems, fintech platforms, ...

This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...

Customers can accelerate the reduction of their legacy tech debt and shift valuable resources toward innovation. We are introducing new agentic capabilities in AWS Transform to accelerate organization ...

U.S. Navy Capt. Vince Libasci during USS Arlington change-of-command ceremony (U.S. Navy photo by Seaman Bret Whorton) Arlington’s namesake U.S. Navy ship has a new commanding officer. Navy Capt.

Microsoft has released C# 14 and .NET 10, a long-term support version, along with a bunch of related products including Visual Studio 2026 and Aspire 13. Copilot Free is included but devs will soon ...

Community driven content discussing all aspects of software development from DevOps to design patterns. When the seminal Java whitepaper introduced the language in 1995, it listed seven key benefits ...

PyTorch and JAX dominate research while TensorFlow and OneFlow excel in large-scale AI training Hugging Face simplifies access to advanced pre-trained models for faster development ONNX, DL4J, and ...

Using graph neural networks and open-source repositories to detect code vulnerabilities. This is an implementation of the model described in: "Combining Graph-based Learning with Automated Data ...

Single-cell transcriptomics data present challenges due to their inherent stochasticity and sparsity, complicating both cell clustering and cell type-specific network inference. To address these ...