AI GLOSSARY
Continuous Metalearning
Continuous Metalearning is a technological capability that allows AI models to optimise their learning process and adapt to changes in the real world. It offers protection from the risks associated with misaligned AI and enables models to get better over time.
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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