Artificial intelligence in universities has so far behaved like a helpful junior colleague—eager, fast, and dependent on ...

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

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

At the heart of the friction is a simple contrast. The ledger must be immutable, reconcilable to the last decimal, and ...

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

Abstract This article interrogates the intersection of Artificial Intelligence (AI), digital transformation and sovereignty ...

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 ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...