AI GLOSSARY
Transfer Learning
Transfer learning is a machine learning technique where a pre-trained model is adapted to perform a different but related task. Instead of training a model from scratch, transfer learning leverages the knowledge gained from solving one problem and applies it to another, often reducing the amount of data and computational resources needed. This approach is particularly effective when data for the new task is limited, enabling quicker and more efficient model development.
5 min read
Digital Custodians for Ageing Infrastructure
by Mind Foundry
The UK spends £1.5 billion each year maintaining its 100,000 bridges and structures across the road and rail networks. The average age of these...
7 min read
Bridge Inspections: 5 Challenges Every Asset Manager Faces
by Claire Butcher
Inspections are the primary way we assess a bridge’s condition, but traditional methods have their limitations. AI and Machine Learning offer new...
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