5 min read
UK Quantum Computing: Leading the Revolution
Of all the technologies being explored today, Quantum technologies are some of the most exciting and potentially most revolutionary, and the UK is at...
AI GLOSSARY
Explainable AI (XAI)
Explainable AI (XAI) refers to methods and techniques that make the decision-making processes of AI systems transparent and understandable to humans. Unlike black box models, explainable AI provides insights into how an AI model reaches its conclusions, allowing users to interpret, trust, and verify the outputs. This is particularly important in high-stakes applications like healthcare, finance, and autonomous systems, where understanding the rationale behind AI decisions is critical.
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4 min read
Industrial AI in 2026: Turning Uncertainty into Opportunity
Alistair Garfoot:
With pilot project failure rates as high as 80%, industries like manufacturing, utilities, and logistics have struggled to capitalise on AI’s...
4 min read
Digital Custodianship: The Future of Civil Infrastructure
Tom Bartley:
Our civil infrastructure is entering an accelerated phase of deterioration, and numerous challenges are hindering effective infrastructure...
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News, announcements, and blogs about AI in high-stakes applications.