ARTIFICIAL INTELLIGENCE
the underlying explanatory factors hidden in the observed data to extract descriptors of GB .
Rules-Based Classification : We have developed a rules-based classification system using a detailed ruleset curated by our research team , which can classify RGB imagery and height models to assess the landcover within . The current system has supplied the entirety of England to the Rural Payments Agency for them to accurately assess the hedge cover of rural land to correctly distribute EU payments .
Wider Research : The ImageLearn project is running in conjunction with the University of Southampton and the University of Lancaster . One candidate is investigating the use of deep learning techniques on extracting previously undiscovered archaeological sites in GB from aerial imagery , LIDAR and height models .”
Exploring automation
Jonathan Wilkins , Head of Marketing at EU Automation
It is easy to fall into the idea that AI strictly works in a controlled shadow world of processes that sits outside our own . One of the places where AI meets the practical and very physical real world is in automation . Gigabit asked Jonathan Wilkins at EU Automation about out how the manufacturing industry are benefitting from the latest developments :
“ Traditional robots are unable to respond appropriately when unexpected circumstances arise as they do not have the ability to forecast issues and achieve solutions . Machine learning technology is allowing robots to make decisions , based on experience . For example , a robot collects data on a system ’ s activity and uses it to make decisions that improve the efficiency of its work . This reduces the resources spent during manufacturing .
“ When an alteration is made to an automated manufacturing line , somebody must manually program changes . Machine learning enables the machinery to adapt to alterations in the process , without the need for human input . Predictive maintenance systems notify workers before a fault . This is accomplished by sensors , which detect abnormalities , indicating a fault . With machine learning technology however ,
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