Covers Java best practices, design patterns, generics, concurrency, and performance optimization through practical examples ...

Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...

Confidential Computing Is Having a Moment The confidential computing space is experiencing a wave of innovation across ...

Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Couchbase AI Data Plane brings governed memory, real-time context, and cloud-to-edge data access to enterprises moving AI ...

For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...

Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework–Based Standards Compliance Toolkit for AI-Driven Projects ...

Hardwood, the project Gunnar Morling kick-started handling of Parquet files in Java, reached version 1. Its multi-threaded approach and zero mandatory external dependencies promise a simpler, more ...

Abstract: In modern industrial applications, accurate fault diagnosis is critical for ensuring machinery reliability, yet traditional methods struggle with the complexity and interdependencies of ...

New threat data from SonicWall shows the healthcare sector faces more per-device attacks than any other industry sector.

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 ...

As enterprises embrace agentic AI and vibe coding, Secure Code Warrior CEO and co-founder Pieter Danhieux warns that ...