Webinars

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Cultural Data Sculpting

SPEAKER: Sarah Kenderdine | Digital Museology, Digital Humanities Institute |
Lead: Laboratory for Experimental Museology (eM+) | Director: ArtLab | EPFL Lausanne Switzerland

TITLE: Cultural data sculpting

DATE&TIME: Thursday, June 11, 2020 at 4:00 PM CEST

ABSTRACT:
In 1889 the curator G. B. Goode of the Smithsonian Institute delivered an anticipatory lecture entitled ‘The Future of the Museum’ in which he said this future museum would stand side by side with the library and the laboratory.’
Convergence in collecting organisations propelled by the liquidity of digital data now sees them reconciled as information providers in a networked world.
The media theorist Lev Manovich described this world-order as “database logic,” whereby users transform the physical assets of cultural organisations into digital assets to be—uploaded, downloaded, visualized, shared, users who treat institutions not as storehouses of physical objects, but rather as datasets to be manipulated. This presentation explores how such a mechanistic description can replaced by ways in which computation has become ‘experiential, spatial and materialized; embedded and embodied’. It was at the birth of the Information Age in the 1950s that the prominent designer Gyorgy Kepes of MIT said “information abundance” should be a “landscapes of the senses” that organizes both perception and practice. “This ‘felt order’ he said should be “a source of beauty, data transformed from its measured quantities and recreated as sensed forms exhibiting properties of harmony, rhythm and proportion.”

Archives call for the creation of new prosthetic architectures for the production and sharing of archival resources. At the intersection of immersive visualisation technologies, visual analytics, aesthetics and cultural (big) data, this presentation explores diverse digital cultural heritage experiences of diverse archives from scientific, artistic and humanistic perspectives.
Exploiting a series of experimental and embodied platforms, the discussion argues for a reformulation of engagement with digital archives at the intersection of the tangible and intangible and as a convergence across domains. The performative interfaces and repertoires described demonstrate opportunities to reformulate narrative in a digital context and they ways they support personal affective engagement with cultural memory.

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Addressing The Challenges In Higher ED and Research

Date: Wednesday, June 17, 2020
Time: 11:00am – 12:00am SGT
Duration: 1 hour

Universities are undergoing an unprecedented challenge to provide staff to work from home, remote teaching and learning , and still provide high value learning to students and cutting edge tools and services to faculty and researchers. While remote learning is not a new phenomenon, providing quality service at scale is now a requirement, along with a new set of challenges that span user experience, mobility, effective management of a distributed deployment.

Solutions that enable remote learning and research, such as NVIDIA virtual GPU (vGPU) technology, enable you to meet these new requirements across various workloads with cost-effective solutions for existing on-premise infrastructure assets and in the cloud.

By attending this webinar, you’ll learn:
How NVIDIA vGPU technology solutions enable remote work and learning
How vGPU solutions are helping universities, across both education and research
How to get started with vGPU and vComputeServer to accelerate VDI and computational workloads in your institution

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ISC High Performance 2020 Digital (Free Registration)

Welcome to ISC 2020 Digital, the inaugural online event that focuses on bringing the most critical developments and trends in high performance computing, machine learning and data analytics for the benefit of the global HPC community.

As the largest online HPC event this year, we anticipate registration numbers to match our live Frankfurt event, which is 3,700 registrations.

The event takes place over four days, from Monday, June 22 – Thursday, June 25, and is free of registration fees. All talks are exclusively available for registered participants for 14 days.

https://www.isc-hpc.com/

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High Performance Computing: The Power of Language

SPEAKER: Alan Edelman, Professor of Applied Mathematics at Massachusetts Institute of Technology | Member of MIT’s Computer Science & AI Laboratory | the Leader of the JuliaLab and Applied Computing Group at MIT | cofounder of Julia Computing Inc.

DATE&TIME: Thursday, June 4, 2020 at 4:00 PM CEST

 

ABSTRACT:
Julia is now being used for high performance computing for the important problems of today including climate change and Covid-19. We describe how language is making all the difference.

 

SPEAKER’S BIO:
Alan Edelman is a Professor of Applied Mathematics at MIT, is a member of MIT’s Computer Science & AI Laboratory, and is the leader of the JuliaLab and Applied Computing Group at MIT. He is also a cofounder of Julia Computing Inc. He works on numerical linear algebra, random matrix theory and parallel computing. He is a fellow of SIAM, IEEE, and the American Mathematial Society. He has won numerous prizes for his research, most recently in 2019 the Fernbach Prize from IEEE for innovation in high performance computing.

 

DATE&TIME: Thursday, June 4, 2020 at 4:00 PM CEST

 

PLEASE REGISTER AT:
https://supercomputingfrontiers.eu/2020/tickets/neijis7eekieshee/

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The Progress and the Future of AI

I really enjoy the presentation by Dr. Goh Eng Lim on the Future of AI. Really absorbing…..

Synopsis:
Dr. Eng Lim Goh explains how AI’s predictive technology is being leveraged for our customers today. HPE is partnering with DZNE to use Memory-Driven Computing to find a cure for Alzheimers and with our supercomputing power we won in poker and created a commercial-off-the-shelf computer system to work in space. Also, Emily Kennedy from Marinus Analytics joins Dr. Goh to discuss fighting human trafficking using AI technologies and becoming a global company with the help of HPE. We are committed to help accelerate what is next for your enterprise.