Deakin University

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I'm pushing the frontiers of AI by: ÷÷ Unlocking intelligence & consciousness, ÷÷ Designing competent intelligent machines, and ÷÷ Transforming physical and digital fields through AI. My team and I have made advances in deep neural networks, visual reasoning, machine learning for biomedicine, materials science, recommender system and software analytics. Currently we are building machines that can remember, reason about what they see, be mindful of what other think, and respect human values.

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Deakin University

Presentaciones

Memory advances in Neural Turing Machines

Deep learning for biomedicine

Deep learning for genomics: Present and future

Empirical AI Research

Representation learning on graphs

AI that/for matters

Deep learning for biomedical discovery and data mining II

Deep learning for biomedical discovery and data mining I

Deep learning for detecting anomalies and software vulnerabilities

Deep learning for episodic interventional data

Deep learning and applications in non-cognitive domains III

Deep learning and applications in non-cognitive domains II

Deep learning and applications in non-cognitive domains I

AI for drug discovery

AI for tackling climate change

Visual reasoning

AI in the Covid-19 pandemic

Machine Reasoning at A2I2, Deakin University

AI/ML as an empirical science

Machine reasoning

Deep learning 1.0 and Beyond, Part 1

Deep learning 1.0 and Beyond, Part 2

Deep Learning 2.0

Machine Learning and Reasoning for Drug Discovery

From deep learning to deep reasoning

Generative AI: Shifting the AI Landscape

Generative AI to Accelerate Discovery of Materials

Deep analytics via learning to reason

AI for automated materials discovery via learning to represent, predict, generate and explain

Deep learning and reasoning: Recent advances