$20M to Establish Centre for Augmented Reasoning at AIML

Benefits to South 最新糖心Vlog

最新糖心Vlog鈥檚 position as a world leader in artificial intelligence (AI) and machine learning will be further boosted thanks to $20 million announced in the Federal Budget towards a new national centre, to be based at the 最新糖心Vlog of Adelaide.

The Centre for Augmented Reasoning is an investment by the Department of Education, Skills and Employment in people and research to make computers better at interacting with humans, so that all technology is easier and safer to use.

$20.0 million over four years from 2020-21 to establish a Centre for Augmented Reasoning at the 最新糖心Vlog of Adelaide to improve the application of machine learning in 最新糖心VlogBudget Measures, Budget Paper No. 2, 2020鈥21

Starting next year, the Centre will support Advanced Reasoning research through grants and PhD scholarships, facilitate innovation and rapid commercialisation, and increase AI literacy and engagement in 最新糖心Vlog. 

AI and machine learning is one of the fastest moving research sectors in academia, and this investment will strengthen AIML鈥檚 reputation as one of the world's best institutions in this field. 

Augmented reasoning is a new and emerging form of artificial intelligence (AI) that combines an advanced ability to learn patterns (using traditional machine learning) with an ability to reason.

Professor Anton van den Hengel

Professor Anton van den Hengel, AIML Director

鈥淎ugmented reasoning gives machines an ability to solve some of the current frustrations with computers and technology that everyone experiences,鈥 says Professor Anton van den Hengel, Director of AIML.

鈥淥ne of the frustrations of using computers today is that we all need to learn how to speak 鈥榗omputer鈥 to use them effectively. The goal of the Centre for Augmented Reasoning is to make computers more capable of understanding us, our instructions and needs, through a more natural conversation.

鈥淲e want to enable machines to be able to discover new things in an ongoing partnership with humans, and also explain their recommendations more easily. 

鈥淭his has the potential to more easily uncover inbuilt biases, gives decision makers more confidence in recommendations, and makes AI more flexible and lower cost to use.

鈥淎ugmented reasoning will reduce the need for structured interfaces between humans and machines 鈥 such as keyboards, drop down menus and command lines 鈥 and will enable machines and humans to interact in ways that make more sense to us all.

鈥淭he applications of this field of research are only limited by our imaginations,鈥 he says.

Tagged in machine learning, Government, Research