It also presents exciting opportunities for industries. Stephan’s work has revealed new possibilities across the fields of artificial intelligence, machine learning, pattern recognition, data analysis, computer vision and control. “By investigating these abstract underlying principles of the human neural systems, we can create artificial neural network simulations that can perform pattern analysis and control tasks.” Our brain processes all the information we need to make a decision that may seem trivial to us but is very hard to implement realistically on a companion robot. For example, what happens when we walk into a café with a friend and have to decide where to sit? Our senses immediately kick in, studying the environment and available tables, what we know about our friend and about our own preferences. Our human minds are constantly scanning the environment, processing huge amounts of information and deciding how to respond. “In my lab, we use what is known about how the mind works-how the neurons in the brain interact-to develop computer programs that allow machines to analyse images, sound recordings or process other data.”

Using artificial neural networks-a machine learning tool inspired by the human brain-they have developed a suite of robots and computer systems that replicate the way human minds learn, process information and complete tasks.

By studying how the human mind works, Associate Professor Stephan Chalup and his research team are developing clever machines that mimic the way we learn.Īssociate Professor Stephan Chalup and his research team at the University of Newcastle are contributing to an entirely new generation of machine learning.

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