The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

AI could accelerate the energy transition, but widespread adoption is stalled by unresolved trust, risk and governance concerns across sectors.

As the light dawns on a new year, business in Australia and abroad will need to adapt to an array of changing and emerging technologies and trends.

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Overview:  AI is transforming finance, but ethical challenges around bias and fairness remain unresolved across institutions.Algorithmic decisions in lendi ...

The institutions recognized with Global Finance’s AI in Finance Awards 2026 have not merely adopted AI; it is now a ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

As enterprises accelerate the rollout of generative AI and autonomous agents, many are finding that traditional governance models are failing to keep pace with the speed, scale, and risk of modern AI.

The Agentic AI Governance Assurance & Trust Engine (AAGATE) translates the high-level functions of NIST AI RMF into a living, Kubernetes-native architecture.

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...