Truyen Tran

107 Seguidores

25 SlideShares 107 Seguidores 59 Siguiendos

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.

truyen tran deep learning artificial intelligence machine learning machine reasoning data mining memory architecture deep learning 2.0 tutorial 2019 dual-process visual reasoning 2016 2018 neural turing machine deep unsupervised learning graph neural networks system 2 a2i2 computer vision drug discovery healthcare pakdd biomedical empirical research cognitive architecture 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 ai software analytics 2017 anomaly detection statistics medicine deep leanring big data materials informatics chemoinformatics materials science data science graph representation genomics biomedicine artificial intelligene

Actividad
Acerca de

Truyen Tran

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