IUCC and IPv6 Deployment in Israel

October 17th, 2018
IUCC and IPv6 Deployment in Israel

IUCC was invited to participate in a conference publicizing a position paper on recommendations for national policy on implementing IPv6 in Israel hosted by the Israel Internet Association (ISOC-IL). Among the 50 conference attendees were the Managing Director of the Ministry of Communications, the National Cyber Bureau, the Innovation Authority, technical executives from all leading

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Cloud weekly news digest (14.10.2018)

October 14th, 2018
Cloud weekly news digest (14.10.2018)

Machine Learning: Microsoft has released a new open-source cross-platform framework for model-based machine learning called Infer.Net: https://www.infoworld.com/article/3311994/machine-learning/microsoft-open-sources-infernet-machine-learning.amp.html 25 Open-Source Machine Learning Repos: https://heartbeat.fritz.ai/25-open-source-machine-learning-repos-to-inspire-your-next-project-3b027a90155 AI: Case study from New York University about usage of Google open-source AI for lung cancer research: https://itsfoss.com/open-source-ai-diagnoses-lung-cancer/ NVIDIA GPU related: Article about RAPIDS – open source libraries for NVIDIA’s GPUs for

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Cloud weekly news digest (7.10.2018)

October 7th, 2018
Cloud weekly news digest (7.10.2018)

Machine Learning: Latest news about Amazon SageMaker: https://aws.amazon.com/blogs/machine-learning/how-to-use-common-workflows-on-amazon-sagemaker-notebook-instances/ https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-neural-topic-model-now-supports-auxiliary-vocabulary-channel-new-topic-evaluation-metrics-and-training-subsampling/ Segmenting brain tissue using Apache MXNet with Amazon SageMaker and AWS Greengrass ML: https://aws.amazon.com/blogs/machine-learning/segmenting-brain-tissue-using-apache-mxnet-with-amazon-sagemaker-and-aws-greengrass-ml-inference-part-1/ https://aws.amazon.com/blogs/machine-learning/segmenting-brain-tissue-using-apache-mxnet-with-amazon-sagemaker-and-aws-greengrass-ml-inference-part-2/ If you wish to to run machine learning projects on Kubernetes, the guide below will explain to Kubeflow on Amazon EKS: https://aws.amazon.com/blogs/opensource/kubeflow-amazon-eks/ How Azure ML Streamlines Cloud-based Machine Learning: https://thenewstack.io/how-the-azure-ml-streamlines-cloud-based-machine-learning/ Deploy

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Cloud weekly news digest (30.9.2018)

September 30th, 2018
Cloud weekly news digest (30.9.2018)

Machine Learning: Introduction to machine learning in Azure: https://azure.microsoft.com/en-us/blog/announcing-automated-ml-capability-in-azure-machine-learning/ https://azure.microsoft.com/en-us/blog/release-models-at-pace-using-microsoft-s-automl/ New features in Azure machine learning services: https://azure.microsoft.com/en-us/blog/what-s-new-in-azure-machine-learning-service/ https://azure.microsoft.com/en-us/blog/experimentation-using-azure-machine-learning/ Challenges designing machine learning models: https://www.oreilly.com/ideas/why-its-hard-to-design-fair-machine-learning-models https://arxiv.org/pdf/1808.00023.pdf Deep Learning: Explanation of AWS services for supporting deep learning: https://missinglink.ai/blog/aws/using-data-locality-for-deep-learning-in-aws/ Comparison between cloud deep learning services: https://www.wimoxez.com/top-cloud-computing-for-deep-learning/ AI: Article about Azure cognitive services: https://azure.microsoft.com/en-us/blog/global-scale-ai-with-azure-cognitive-services/ HPC: If you are

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Cloud weekly news digest (23.9.2018)

September 23rd, 2018
Cloud weekly news digest (23.9.2018)

Machine Learning: Google cloud has added a new feature, which allows “What-if” machine-learning scenarios without writing code: https://ai.googleblog.com/2018/09/the-what-if-tool-code-free-probing-of.html A new service from Google called Cloud Inference API which allows to gather insights from typed time series datasets: https://cloud.google.com/blog/products/ai-machine-learning/introducing-cloud-inference-api-uncover-insights-from-large-scale-typed-time-series-data Google now offers 10 hands-on labs for data scientists: https://cloud.google.com/blog/topics/training-certifications/new-qwiklabs-quest-available-data-science-google-cloud-platform Coursera now offers advanced machine-learning courses about

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MEITAL 2018 Conference

July 18th, 2018
MEITAL 2018 Conference

  This year the 16th Annual MEITAL conference on Teaching and Learning Technologies Accelerating Higher Education: Trends and Developments, was held on the Hebrew University of Jerusalem campus. The conference opened with greetings from MEITAL Chairman Prof. Aharon Palmon and Prof. Haim Taitelbaum, the Chairman of IUCC who challenged the audience with the question of

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Connect with eduroam This Summer

July 16th, 2018
Connect with eduroam This Summer

With tens of thousands of hotspots in 89 countries across the world, if you’re traveling, working or just enjoying a weekend break, eduroam will be with you. This summer, share your appreciation for eduroam by posting photos of where you #love2eduroam on Twitter.  

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Inter-University Cloud Forum Highlights Reseller Agreements

June 28th, 2018
Inter-University Cloud Forum Highlights Reseller Agreements

The Inter-University Cloud Forum held its third meeting on Monday June 25, 2018 at IUCC’s offices in Tel Aviv. Representatives from four universities took part in the lively discussions on the contract between IUCC and a reseller of Azure, AWS and GCP. The agreement covers purchase discounts on Azure IaaS and PaaS services, consumption reports

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Survey of Cloud Computing in Israeli Academia-January 2018

May 24th, 2018
Survey of Cloud Computing in Israeli Academia-January 2018

In January 2018, IUCC carried out its first cloud computing survey. The goal of the survey was to learn about how and to what extend cloud computing was used in academic institutions in Israel. These are some highlights from the survey: Cloud service providers: 46% of institutions use Amazon Web Services (AWS) 31% of institutions use

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Cloud Computing Wiki

May 23rd, 2018
Cloud Computing Wiki

We are happy to announce that the IUCC Cloud Wiki is now live. The Wiki presently has detailed “How To” guidelines for AWS, GCP and MS Azure, covering topics such as opening accounts, creating environments, “cheat sheets” and much more.  We are confident you and your institutions will find the material useful. We welcome feedback

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