Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The core utility of AI lies in its ability to process massive volumes of data and synthesize patterns. In ESG, models can aggregate vast, ambiguous, and often qualitative information into a single, ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

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

Surendra Konathala framework contributes to that shift by articulating how intelligent content systems can operate responsibly under real-world constraints. It demonstrates how engineering decisions ...

The European Union has adopted a centralised, horizontal approach to AI regulation through the EU AI Act, the world’s first ...

Artificial intelligence is no longer a niche tool. It sits inside core workflows, decision systems, and customer experiences. For boards in South Africa and beyond, that raises a key question: who on ...

Explore how agentic AI transforms cybersecurity by enhancing automation, improving decision-making, and enabling real-time ...

Abstract: Explainable Artificial Intelligence (XAI) has emerged as a critical tool for interpreting the predictions of complex deep learning models. While XAI has been increasingly applied in various ...

The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they expand their toolboxes of research practices and methods.

You’ve heard the maxim, “Trust, but verify.” That’s a contradiction—if you need to verify something, you don’t truly trust it. And if you can verify it, you probably don’t need trust at all! While ...