Pawsey Training in Melbourne

The Pawsey Supercomputing Centre is running training for researchers in Melbourne; covering topics ranging from supercomputing, data and cloud services. It is a great opportunity to learn about the command line, freshen up your supercomputing skills, create a virtual machine and visualise your results in more engaging ways.

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Data Science and Artificial Intelligence in the Humanities, Arts and Social Sciences

Data Science & AI in HASS, for short, will allow researchers to present new projects that might benefit from further collaboration; discuss the ethical, legal and social issues and challenges in this space; demonstrate tools and services Monash can provide; and encourage opportunities for our researchers to work across the university, or with our partners at Penn State.

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Fundamentals of Deep Learning for Computer Vision Workshop

NVIDIA Deep Learning Institute, together with Monash University, is hosting a Fundamentals of Deep Learning for Computer Vision workshop on Thursday 12th July 2018 at Monash University Clayton Campus. In this hands-on workshop, participants will explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

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Best Practices in R Workshop

The Monash Bioinformatics Platform is running a Best Practices in R workshop, aimed at graduate students and other researchers already comfortable with the basics of the R programming language, on Thursday 14th June 2018 at Monash University Clayton Campus.

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Half Day Intel Parallel Studio XE (IPSXE) Information Session

Intel and the Monash University High Performance Computing (HPC) team (MonARCH and MASSIVE) have organised a half-day Intel Parallel Studio XE (IPSXE) Information Session to be held on Wednesday 30th May 2018 at Monash University Clayton Campus. For more information and to register see https://www.eventbrite.com.au/e/half-day-ipsxe-intel-parallel-studio-xe-information-session-tickets-46479784286.

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Machine Learning Symposium

The capability to develop computer programs that learn through experience, using techniques such as deep neural networks, has generated significant interest across a wide range of fields, including medicine, biology, engineering, astronomy, economics, and law. The Machine Learning Symposium is a one-day applied Artificial Intelligence event to hear how researchers… Read more »

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