Australian Institute for Machine Learning (AIML)

The Australian Institute for Machine Learning (AIML) conducts globally competitive research and development in artificial intelligence (AI), machine learning, computer vision and deep learning.

Based at Lot Fourteen—South Australia’s innovation district—we collaborate with industry, government and business to develop high-tech products and solutions to everyday problems.

About us

Our research

Centre for Augmented Reasoning

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Opportunities

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Our impact

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Our people

Latest news

AIML members and health experts use AI to increase speed of endometriosis diagnosis

Endometriosis is a condition where tissue similar to the lining of the uterus grows outside of the uterus causing severe pain in the pelvis and potentially affecting fertility.

AIML collaboration with Nova Systems tackles AI skills gap

A recent study from Amazon found that 90 per cent of Australian employers believe their organisations will use AI-related solutions by 2028, and 77 per cent of Australian workers want to upskill in AI to support their career advancement. While both employers and employees are enthusiastic about embracing AI, there’s a looming AI skills gap impacting both technical and non-technical workers that must be overcome if Australia is to build an AI-ready workforce.

Prof Anton Van Den Hengel testifying before the Senate July 2024

‘AI is the technology of our time’ - AIML Professor testifies on AI’s global impact and why Australia needs to get on board

University of Adelaide professor and AIML Chief Scientist Anton van den Hengel testified Tuesday, 16 July before the Senate Select Committee on Adopting Artificial Intelligence (AI) on AI’s far-reaching and enormous impact.

AIML professor convenes world-class thinkers to bring AI to new heights

The space sector is experiencing significant growth, both in Australia and globally. An April 2024 McKinsey and Company report estimates that the global space economy will be worth $1.8 trillion by 2035 (accounting for inflation), up from $630 billion in 2023.

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