Machine Learning & Supercomputing in Science

New Zealand eScience Infrastructure(NeSI) designs, builds, and operates a shared national platform of advanced computing resources and data services. All researchers in Aotearoa New Zealand have access to NeSI’s platforms. Through NeSI, researchers can access high-capacity CPUs, GPUs and high memory nodes; tailored software environments; expertise in research software and data science engineering; and skills training in computational  tools and approaches. NeSI enables researchers to investigate large, unique, or complex projects more easily, quickly, and accurately.  To learn more, get in touch: info@nesi.org.nz.

New Zealand eScience Infrastructure (NeSI)

Hear from experts and innovators in the world of Artificial Intelligence (AI). The event will begin with AI experts from Cray presenting examples from machine learning deployments around the world and discuss the technology choices, challenges, and implementation. Following that, we will have New Zealand researchers presenting example case studies in this growing area, highlighting where the opportunities are within the context of New Zealand's research ecosystem. 
<H4>WEBSTREAM: </H4>
If you are unable to join us in person, watch our live webstream via Zoom: <A HREF="https://auckland.zoom.us/j/338148090" TARGET="blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://auckland.zoom.us/j/338148090</A> 
 
<H2>Speakers:</H2>
<UL>
<LI>Dr. Rangan Sukumar, Senior Analytics Architect, Office of the CTO, Cray</LI>
<LI>Dr. Charles Siegel, Solution Architect, Artificial Intelligence, Cray</LI>
<LI>Dr. James Maltby, Artificial Intelligence Solution Architect, Cray</LI>
<LI>Per Nyberg, Vice President, Market Development, Cray</LI>
<LI>Dr. Jane Allison, Associate Professor and Rutherford Discovery Fellow, University of Auckland Dr. Cris Print, Professor, Department of Molecular Medicine and Pathology, University of Auckland</LI>
<LI>Dr. Brent Martin, IT solution architect, Enviro-Mark Solutions Ltd; Computer Science researcher, Manaaki Whenua Landcare Research </LI>
</UL>
<H3><A HREF="https://www.nesi.org.nz/event/2018/09/machine-learning-supercomputing-science" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Visit our event page</A> for speaker bios and more event information. </H3>
<H2>Agenda:</H2>
10:00 am - Welcome 10:00 - 11:10 am - Machine Learning, Supercomputing and Science 11:10 am - 12:10 pm - Highlights and examples from New Zealand 12:10 - 12:30 pm - Discussion: AI opportunities in New Zealand 12:30 pm - Wrap up 
 
<H2>More Information:</H2>
If you have questions prior to the event, please contact <A HREF="mailto:events@nesi.org.nz" TARGET="_blank" REL="nofollow noopener noreferrer">events@nesi.org.nz</A>. 
 
This event is brought to you by:
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/132924857/2000pxcraylogosmall.png">
 
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/132924857/nesilogocropped.jpg">

Sir Owen G Glenn Building, Decima Glenn Room

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Machine Learning & Supercomputing in Science

More events from New Zealand eScience Infrastructure (NeSI)

Discover more events from New Zealand eScience Infrastructure (NeSI), from Science & Tech to other experiences you might love.

Machine Learning & Supercomputing in Science

More events from New Zealand eScience Infrastructure (NeSI)

Discover more events from New Zealand eScience Infrastructure (NeSI), from Science & Tech to other experiences you might love.

You might also like...

Browse more events with different dates, prices, and formats to find your next great experience.