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Ms Aditi Subramanya1, Jana Makar2, Jane Gifford3, Ms Jo Condon4 1Pawsey Supercomputing Research Centre, Perth, Australia, 2New Zealand eScience Infrastructure, Auckland, New Zealand, 3AARNet, 4AuScope Australasia is an established global leader in world-class research. The Australian Government helps maintain this...

Data enables researchers to make accurate observations, predictions, and understandings of the world around us. It plays a critical role in robust research findings, improved innovations and better insights for public policy. However, Australia will require the resources, tools, skills...

Josh Brown Co-founder, Research and Strategy, MoreBrains Cooperative Australian organisations have been leaders in the support and adoption of persistent identifiers (PIDs). In globally challenging times, we depend on accurate, timely dissemination of research results and activities more than ever....

Dr Renjie Zhou1, Dr Sheree Armistead2, Dr Samuel Boone3, Dr Hayden Dalton3, Prof Andrew Gleadow3, Dr Yoann Gréau4, Dr Sally-Ann Hodgekiss4, Dr Fabian Kohlmann5, Prof Barry Kohn3, Prof Brent McInnes6, Dr Angus Nixon7, Dr Wayne Noble5, Prof Suzanne O’Reilly4, Prof...

Jasper Wang1 1Google Cloud Engineer In 2020, DeepMind released a deep learning AI/ML system which predicts protein folding. It’s called AlphaFold. Google has created a fully managed solution to operationalise running Alphafold at scale. It allows researchers to input an amino...

Subramanian Kartik1 1 Vice President of Systems Engineering, VAST Data Modern workloads driving innovation in every sector are pushing the frontier of AI with state-of-the-art techniques in Machine and Deep Learning at scale. Groundbreaking techniques in Computer Vision, Natural Language Processing...

Joel Lopez​1  Jeffrey Tay​2 1AI Platforms Solutions Consultant, Fujitsu Australia Limited 2AI Specialist, NetApp Access to relevant data and development platforms is crucial for the growth of AI research. In other words: more access to data alongside optimised infrastructures leads to an accelerated...

Ian Foster University of Chicago   Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the collection of only interesting subsets of such massive data streams, such as by explicitly...

Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence (AI) driven methods which require specialized capabilities at the system-, science- and service-level in addition to the conventional large-capacity supercomputing approaches. The...

Ms Marion Shadbolt1, Tiffany Boughtwood3, Jeff Christiansen1, Joe Copty7, Mark Cowley6, Kylie Davies2, Matthew Downton9, Kelsey  Druken9, Ben Evans9, Clara Gaff8, Andrew Gilbert5, Christina Hall1, Oliver Hofmann11, Jessica Holliday1, Warren Kaplan9, Ross Koufariotis10, Sarah Kummerfeld7, Conrad Leonard10, Angela Lin6, Andrew...