New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

We’ll soon turn our calendars to 2026, looking back at the global technology landscape that underwent a profound structural ...

The study identifies structural weaknesses that could undermine the role of AI as a sustainability accelerator. One of the ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Is Your Enterprise Architecture Ready for AI? Think you understand enterprise IT? Low-code, AI copilots, and self-evolving ...

A key advantage is that Seegnal is built on vast real-world prescribing data - and equally important, on the real reactions and behaviors of clinicians in workflow. That feedback loop is what we rely ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Abstract: An Intrusion Detection System (IDS) is vital for monitoring network traffic and alerting users to threats. Unlike traditional IDS, which relies on centralized data processing and raises ...

Abstract: The rapid growth of AI has led to more complex deep learning models, often operating as opaque "black boxes" with limited transparency in their decision-making. This lack of interpretability ...

1 Electrical Engineering College, Heilongjiang University, Harbin, China 2 State Key Laboratory of Acoustics and Marine Information, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China ...