Cloud weekly news digest (4.11.2018)

November 4th, 2018
Cloud weekly news digest (4.11.2018)

Machine Learning: A case study from UCLA School of Medicine, who used AWS services for conducting a research on asthma: https://aws.amazon.com/blogs/publicsector/ucla-helps-caregivers-predict-and-prevent-asthma-attacks-in-children/ Google cloud just published AdaNet, a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention: https://ai.googleblog.com/2018/10/introducing-adanet-fast-and-flexible.html Azure ML Studio now supports R 3.4 https://blog.revolutionanalytics.com/2018/11/azure-ml-studio-r-34.html Deep Learning: Using AWS machine learning services

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Cloud weekly news digest (28.10.2018)

October 29th, 2018
Cloud weekly news digest (28.10.2018)

Machine Learning: A case study of how the Israeli startup Fiverr is using AWS SageMaker for machine learning models: https://aws.amazon.com/blogs/startups/fiverr-relies-on-sagemaker-to-streamline-and-simplify-machine-learning-models/ Step by step guidelines for securing the usage of AWS SageMaker for sensitive environments: https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-batch-transform-now-supports-amazon-vpc-and-aws-kms-based-encryption/ AI How to use GCP machine learning services for fluid annotation: https://ai.googleblog.com/2018/10/fluid-annotation-exploratory-machine.html Using Azure AI to notify seismologists on earthquake:

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The Spot / Low-Priority VM / Preemptible VM Instance Pricing Model

October 22nd, 2018
The Spot / Low-Priority VM / Preemptible VM Instance Pricing Model

Spot Instances or Low-Priority VM or Pre-Emptible VM Instances allow customers to purchase VM instances at a low prices from a pool of spare compute capacity at cloud vendors’ data centers

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Cloud weekly news digest (21.10.2018)

October 21st, 2018
Cloud weekly news digest (21.10.2018)

Research Related: News regarding the latest AWS public datasets for researchers in life science, machine learning, environmental, etc: https://aws.amazon.com/about-aws/whats-new/2018/10/public-datasets/ Full list of AWS datasets for researchers: https://registry.opendata.aws/ Full list of Google Cloud Platform datasets for researchers: https://cloud.google.com/public-datasets/ Full list of Azure datasets for researchers: https://msropendata.com/ Using Google Cloud Platform and NASA for astronomy research: https://cloud.google.com/blog/products/ai-machine-learning/is-there-life-on-other-planets-google-cloud-is-working-with-nasas-frontier-development-lab-to-find-out

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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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