5 min read
Industrial AI in 2026: From Hype to Real-World Impact
Industrial AI is increasingly coming to the fore in physical industries, but achieving measurable real-world impact requires careful consideration...
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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5 min read
UK Quantum Computing: Leading the Revolution
Dr Nathan Korda:
Of all the technologies being explored today, Quantum technologies are some of the most exciting and potentially most revolutionary, and the UK is at...
4 min read
Industrial AI in 2026: Turning Uncertainty into Opportunity
Alistair Garfoot:
With AI pilot project failure rates as high as 95%, industries like manufacturing, utilities, and logistics have struggled to capitalise on AI’s...
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News, announcements, and blogs about AI in high-stakes applications.