At the Australian Artificial Intelligence Institute (AAII), we undertake highly innovative and challenging research to achieve international standing and to lead advancements in knowledge in the field of artificial intelligence.

 

  • Computational Intelligence and Brain-Computer Interface (CIBCI) Lab

    AAII's CIBCI Lab is developing mobile sensing technology to measure brain activity using non-invasive methods.

Student wearing an EEG headset with VR headset showing the virtual reality environment on top of a high rise building

  • Representation Learning for Machine Intelligence (ReLMI) Lab

    A cutting-edge research centre dedicated to advancing artificial intelligence and machine learning, focusing on representation

Colourful data on a computer screen

  • Biomedical Data Science (BDS) Lab

    The BDS Lab uses knowledge as the infrastructure to support decision-making in cancer diagnosis and treatment.

Human cancer cells stained blue and pink

  • Decision Systems and e-Service Intelligence (DeSI) Lab

    The DeSI Lab develops theories, methods and software systems to support data-driven decision making in organisations.

Bibliometrics of cardiovascular disease

  • Large-scale Network Analytics (LNA) Lab

    The LSNA Lab tackles challenging problems in network analytics for future processing and analysis of large-scale networks.

hand throwing up a clear sphere lit up with many connections as a network of dots connected by lines, representing the Earth

  • Recognition, Learning and Reasoning (ReLER) Lab

    The ReLER Lab discovers patterns to enable machines to recognise, understand and analyse human behaviour.

city scene with duplicate scene below to identify and outline people, bikes, cars and buildings

  • Intelligent Drone Lab (iDL)

    iDL partners with industry to develop drone autonomy using computer vision and machine learning techniques.

Sharks in the water that have been identified and labelled

  • Intelligent Computing and Systems Lab

    The Intelligent Computing and Systems Lab focuses on novel bioinspired neural networks for deep learning.

abstract circuit in the shape of a brain with bright connections. zeros and ones in the background

AAII's Research Objectives 

OBJECTIVE 1: Undertake highly innovative and challenging research to achieve international standing and lead advancements in knowledge in the field of artificial intelligence.OBJECTIVE 2:Develop new and maintain existing networks with major national and international AI centres to achieve global competitiveness and gain high recognition.
OBJECTIVE 3: Build CAI's capacity in all key AI areas by attracting and retaining researchers of high international standing, as well as the most promising research students.OBJECTIVE 4: Provide high-quality HDR and ECR training environments for the next generation of researchers in AI.
OBJECTIVE 5: Improve CAI’s impact on the wider community through interaction with institutes, governments, industry, both locally and internationally.