Businesses can integrate blockchain and decentralized compute to manage data while limiting hallucinations, boosting trust, ...

As digital finance continues to evolve at a rapid pace, so too does the complexity surrounding data security, fraud detection, and regulatory compliance. Artificial ...

While AI promises efficiency and scalability, its rapid adoption has outpaced our ability to ensure transparency, accountability, and fairness, raising serious legal, ethical and psychological ...

Unlike conventional black-box AI models that flag anomalies without explanation, IFAT produces decision trees that map the ...

Many past machine learning approaches to microplastic detection have been criticised for relying on idealised datasets ...

It is important that organizations understand who trains their AI systems, what data was used and, just as importantly, what went into their algorithms’ recommendations. A high-quality explainable AI ...

As customer expectations evolve, businesses are seeking more advanced AI solutions that can bridge the gap between automated ...

Explainable AI (XAI) is a field of AI that focusses on developing techniques to make AI models more understandable to humans.