Cloud weekly news digest (10.3.2019)

March 10th, 2019
Cloud weekly news digest (10.3.2019)

Machine Learning: Preprocess input data before making predictions using Amazon SageMaker inference pipelines and Scikit-learn https://aws.amazon.com/blogs/machine-learning/preprocess-input-data-before-making-predictions-using-amazon-sagemaker-inference-pipelines-and-scikit-learn/ Use two additional data labeling services for your Amazon SageMaker Ground Truth labeling jobs https://aws.amazon.com/blogs/machine-learning/use-two-additional-data-labeling-services-for-your-amazon-sagemaker-ground-truth-labeling-jobs/ Easily perform bulk label quality assurance using Amazon SageMaker Ground Truth https://aws.amazon.com/blogs/machine-learning/easily-perform-bulk-label-quality-assurance-using-amazon-sagemaker-ground-truth/ Model serving with Amazon Elastic Inference https://aws.amazon.com/blogs/machine-learning/model-serving-with-amazon-elastic-inference/ Case study: Improving Patient Care

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Cloud weekly news digest (24.2.2019)

February 24th, 2019
Cloud weekly news digest (24.2.2019)

Machine Learning: Most popular programming language frameworks and tools for machine learning https://www.techrepublic.com/article/most-popular-programming-language-frameworks-and-tools-for-machine-learning/ Identifying bird species on the edge using the Amazon SageMaker built-in Object Detection algorithm and AWS DeepLens https://aws.amazon.com/blogs/machine-learning/identifying-bird-species-on-the-edge-using-the-amazon-sagemaker-built-in-object-detection-algorithm-and-aws-deeplens/ Using Pytorch with Azure https://blogs.msdn.microsoft.com/uk_faculty_connection/2019/02/12/using-pytorch-with-azure/ Batch scoring on Azure for deep learning models https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/batch-scoring-deep-learning Batch scoring of Python models on Azure https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/batch-scoring-python Using the

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Cloud weekly news digest (17.2.2019)

February 17th, 2019
Cloud weekly news digest (17.2.2019)

Machine Learning: Using TensorFlow eager execution with Amazon SageMaker script mode https://aws.amazon.com/blogs/machine-learning/using-tensorflow-eager-execution-with-amazon-sagemaker-script-mode/ Creating hierarchical label taxonomies using Amazon SageMaker Ground Truth https://aws.amazon.com/blogs/machine-learning/creating-hierarchical-label-taxonomies-using-amazon-sagemaker-ground-truth/ AWS – Machine Learning Foundations – Evolution of Machine Learning and Artificial Intelligence https://d1.awsstatic.com/whitepapers/machine-learning-foundations.pdf Making Machine Learning Datasets Unbiased https://www.dataversity.net/making-machine-learning-datasets-unbiased/ Language Models are Unsupervised Multitask Learners https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf Deep Learning and AI: Scheduling GPUs

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Call for Chapters for Learning Technologies Book to be Published by MEITAL

February 13th, 2019
Call for Chapters for Learning Technologies Book to be Published by MEITAL

MEITAL’s research and information team is pleased to invite submissions for chapter proposals for its new reference book “Learning Technologies in Higher Education in Israel.” The purpose of the book is to present the extensive body of knowledge on learning technologies accumulated within the higher education community in the fields of research, teaching, development and

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Israel’s Academic Research Network Gets Faster

February 13th, 2019
Israel’s Academic Research Network Gets Faster

Collaborative scientific research for Israeli academia just got easier. IUCC Israel’s National Research & Education Network has upgraded its international links to London and Frankfurt from 20 Gb/sec to 30 Gb/sec. The upgraded connections link Israel’s universities to GÉANT’s pan-European research and education backbone.   The speed boost comes in response to increasing demand for

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Cloud weekly news digest (10.2.2019)

February 10th, 2019
Cloud weekly news digest (10.2.2019)

Machine Learning: Annotate data for less with Amazon SageMaker Ground Truth and automated data labeling https://aws.amazon.com/blogs/machine-learning/annotate-data-for-less-with-amazon-sagemaker-ground-truth-and-automated-data-labeling/ AWS Open Sources Neo-AI for Deploying Machine Learning Models https://awsinsider.net/articles/2019/02/06/aws-neo-ai.aspx Step-By-Step: Getting Started with Azure Machine Learning https://techcommunity.microsoft.com/t5/ITOps-Talk-Blog/Step-By-Step-Getting-Started-with-Azure-Machine-Learning/ba-p/331327 Deep Learning: Deep learning that’s easy to implement and easy to scale https://www.oreilly.com/ideas/deep-learning-thats-easy-to-implement-and-easy-to-scale Data Analytics: Individually great, collectively unmatched: Announcing updates

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Cloud weekly news digest (3.2.2019)

February 3rd, 2019
Cloud weekly news digest (3.2.2019)

Machine Learning: Running Machine Learning experiments on inventory management https://aka.ms/TechCommunity/MicrosoftIgniteTour/DAT40 Operationalizing your new inventory management Machine Learning Model https://aka.ms/TechCommunity/MicrosoftIgniteTour/DAT50 Azure Notebooks http://www.sqlservercentral.com/blogs/martin_catherall/2019/01/31/azure-notebooks-a-nice-little-tool/ Deploy trained Keras or TensorFlow models using Amazon SageMaker https://aws.amazon.com/blogs/machine-learning/deploy-trained-keras-or-tensorflow-models-using-amazon-sagemaker/ Amazon SageMaker Ground Truth – Build Highly Accurate Datasets and Reduce Labeling Costs by up to 70% https://aws.amazon.com/blogs/aws/amazon-sagemaker-ground-truth-build-highly-accurate-datasets-and-reduce-labeling-costs-by-up-to-70/ Disaster Recovery: Configuring Azure Site

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Cloud weekly news digest (27.1.2019)

January 27th, 2019
Cloud weekly news digest (27.1.2019)

Machine Learning: AWS launches open source Neo-AI project to accelerate ML deployments on edge devices: https://aws.amazon.com/blogs/machine-learning/aws-launches-open-source-neo-ai-project-to-accelerate-ml-deployments-on-edge-devices/ Deploy TensorFlow models with Amazon Elastic Inference using a flexible new Python API available in EI-enabled TensorFlow 1.12: https://aws.amazon.com/blogs/machine-learning/deploy-tensorflow-models-with-amazon-elastic-inference-using-a-flexible-new-python-api-available-in-ei-enabled-tensorflow-1-12/ Handling electronic health records: https://aws.amazon.com/blogs/machine-learning/identifying-and-working-with-sensitive-healthcare-data-with-amazon-comprehend-medical/ https://aws.amazon.com/blogs/machine-learning/extract-and-visualize-clinical-entities-using-amazon-comprehend-medical/ https://ai.googleblog.com/2019/01/expanding-application-of-deep-learning.html Introducing Feast: an open source feature store for machine learning based on Google

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Application Opens for PRACE Summer of HPC 2019

January 21st, 2019

Late-stage undergraduate and Master’s students are invited to apply for the PRACE Summer of HPC 2019 programme, to be held from 1 July – 30 August 2019. Twenty-five top applicants will be selected to participate, spending two months working on projects related to PRACE technical or industrial work. The program begins with a kick-off training week

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Cloud weekly news digest (20.1.2019)

January 20th, 2019
Cloud weekly news digest (20.1.2019)

Machine Learning: Running TensorFlow inference workloads at scale with TensorRT 5 and NVIDIA T4 GPUs: https://cloud.google.com/blog/products/ai-machine-learning/running-tensorflow-inference-workloads-at-scale-with-tensorrt-5-and-nvidia-t4-gpus Getting started with Cloud TPUs: An overview of online resources https://cloud.google.com/blog/products/ai-machine-learning/getting-started-with-cloud-tpus-an-overview-of-online-resources Understand TensorFlow by mimicking its API from scratch: https://medium.com/@d3lm/understand-tensorflow-by-mimicking-its-api-from-scratch-faa55787170d Getting started with TensorFlow Probability from R: https://blogs.rstudio.com/tensorflow/posts/2019-01-08-getting-started-with-tf-probability/ AI: Artificial Intelligence Needs a Strong Data Foundation: https://thefinancialbrand.com/67039/ai-hierarchy-of-data-needs/ Data Analytics:

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