Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

As a result, AI can no longer be viewed merely as a tool. It has become an active participant in the software supply chain, ...

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

As is our end of year tradition, we’ve gathered together some industry spokespeople to tell us what they think the biggest ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

Explore real-time threat detection in post-quantum AI inference environments. Learn how to protect against evolving threats and secure model context protocol (mcp) deployments with future-proof ...

Meta's AI-driven recommendations boost ad ROI and user engagement, while maintaining the lowest capex among Big Tech. Read ...

The interface is also surprisingly polished for an open-source project. You can drag-and-drop files through your browser, ...

API integration enables real-time processing. When a document enters the system through email, mobile upload, or scanner, an API call triggers the extraction process. The AI returns structured data ...