Machine learning is a type of artificial intelligence in the field of computer science, that gives computers the ability to ‘learn’ repetitively from data through algorithms. It can be applied in a range of fields and industries, but use is increasing across engineering, design and infrastructure.
Machine learning can help to generate, manage and make sense of data, providing meaningful insights to assist Aurecon and our clients make better decisions for planning, building or optimising infrastructure. For example, machine learning can be used to help utility organisations predict daily demand for energy consumption when planning residential developments.
Machine learning operates closely with other digital technologies such as big data, analytics, data management, visualisation, augmented reality and virtual reality as we create smart infrastructure for the future.
Previously, the limits of computers, process complexity and access to relevant data of sufficient quality limited progress.
However, advances in technology along with increases in data generation presents new opportunities to make sense of complex systems. The advent of data to plan and build infrastructure, then operate, maintain and monitor it with unsurpassed quality of information is opening many doors.
Machine learning can be used in a variety of ways across engineering and infrastructure, including modelling traffic systems, streamlining manufacturing processes, predicting energy demand, forecasting equipment maintenance, simplifying building and project management and communications.
Our Machine Learning Centre brings together the brightest minds in science, technology, management and mathematics across academia and industry, collaborating with central engineering teams in supporting their design and consulting work.
We collaborate to apply machine learning tools, platforms and techniques to address client needs, deliver improvements and new insights by combining our expertise with emerging digital capabilities.
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