Deakin University

deep learning artificial intelligence truyen tran machine reasoning machine learning data mining memory architecture deep learning 2.0 tutorial 2019 neural turing machine generative ai deep unsupervised learning graph neural networks dual-process visual reasoning drug discovery 2016 2018 materials science large language models llms scientific discovery system 2 a2i2 computer vision ai healthcare pakdd biomedical data science empirical research cognitive architecture history neural networks neurosymbolic models differentiable programming foundation models crystal plasticity chemistry the fifth paradigm battery data analytics learning to reason deep generative models crystal structure generation inverse design applications capability future vision risk gemini chatgpt deep reasoning theory of mind transformer deakin monash academic phd research positioning research planning theory research fast-slow thinking artificial general intelligence vanj webminar covid-19 pandemic coronavirus question answering green ai sustainable energy climate change software analytics 2017 anomaly detection statistics medicine deep leanring big data materials informatics chemoinformatics graph representation genomics biomedicine artificial intelligene