Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...

Abstract: Most existing global ethical guidelines on AI share the principle of transparency. AI actors should be able to explain how an AI system has made decisions to arrive at a particular ...

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Abstract: Explainable AI is a crucial component for edge services, as it ensures reliable decision making based on complex AI models. Surrogate models are a prominent approach of XAI where ...

AI is moving closer to the investor’s decision loop, promising faster analysis, personalised insights and conversational interfaces. At the same time, it raises unresolved questions around ...

The study advances a broader argument about the future of responsible AI. It contends that ethical AI cannot be achieved ...

Strong security helps protect data, maintain reliable performance, and support public trust in intelligent systems.

Read how Thames Laboratories transformed its mobile engineering operations with AI, automating job scheduling, reducing ...

In recent years, AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large medical datasets from which AI can learn, it has proven to be a valuable aid ...