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    CSE Developer Blog

    featured - CSE Developer Blog

    Using Blockchain To Securely Transfer And Verify Files
    Using Blockchain To Securely Transfer And Verify Files
    July 30, 2019 Jul 30, 2019 07/30/19
    Lilian Kasem (she/her)
    MOOG came to CSE in hopes of building a technology solution that would prove the provenance and transfer of digital assets securely between parties. Working together, Microsoft and MOOG set out to develop a demo of this solution that leverages Azure and blockchain technology.

    Comments are closed.0Blockchain
    Using uPort For Authentication On Blockchain To Improve Standards On The Food Logistics Chain
    Using uPort For Authentication On Blockchain To Improve Standards On The Food Logistics Chain
    March 29, 2019 Mar 29, 2019 03/29/19
    Zach Miller
    Food ingredients travel thousands of miles along logistics chains. One bad batch of produce can ruin a restaurant’s reputation, but it’s hard to identify who’s at fault. CSE has worked with Hitachi to build a sample infrastructure leveraging blockchain – thus achieving a new level of accountability for those producing, storing and serving food.

    Comments are closed.0Blockchain
    Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model
    Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model
    February 5, 2019 Feb 5, 2019 02/5/19
    Hang Zhang
    Nestlé Skin Health partnered with Microsoft to develop a deep learning model powered mobile app able to assess acne severity using only uploaded selfie images as a source.

    Comments are closed.0Big DataMachine Learning
    Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
    Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
    January 10, 2019 Jan 10, 2019 01/10/19
    Patty Ryan
    Deep learning algorithms capable of learning and predicting customer behavior are allowing businesses to intervene with the right retention offers at the right time. CSE recently partnered with Majid Al Futtaim Ventures (MAF) to design and deploy a machine learning solution to predict attrition.

    Comments are closed.0ContainersDevOpsMachine Learning
    Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery
    Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery
    December 19, 2018 Dec 19, 2018 12/19/18
    Ryan Pedersen
    Over the course of twelve months Microsoft and BMW partnered three different times to help BMW with its vision for technical transformation. An open-source package called ROS-Industrial was used to help provide the building blocks for the robotics work.

    Comments are closed.0Machine Learning
    Social Stream Pipeline on Databricks with auto-scaling and CI/CD using Travis
    Social Stream Pipeline on Databricks with auto-scaling and CI/CD using Travis
    December 12, 2018 Dec 12, 2018 12/12/18
    Mor Shemesh
    This code story describes CSE's work with ZenCity to create a data pipeline on Azure Databricks supported by a CI/CD pipeline on TravisCI. The aim of the collaboration was to create a pipeline capable of processing a stream of social posts, analyzing them, and identifying trends.

    Comments are closed.0Azure App ServicesBig DataCognitive Services
    Active Learning for Object Detection in Partnership with Conservation Metrics
    Active Learning for Object Detection in Partnership with Conservation Metrics
    November 6, 2018 Nov 6, 2018 11/6/18
    Olga Liakhovich
    CSE teamed up with Conservation Metrics to use Active Learning to allow for more efficient data labeling for object detection projects.

    Comments are closed.0Machine Learning
    Infrastructure as Code – On demand GPU clusters with Terraform & Jenkins
    Infrastructure as Code – On demand GPU clusters with Terraform & Jenkins
    August 9, 2018 Aug 9, 2018 08/9/18
    Tomer Rosenthal
    Developing robust algorithms for self-driving cars requires sourcing event data from over 10 billion hours of recorded driving time. CSE worked with Cognata, a startup developing simulation platforms for autonomous vehicles, to build a Jenkins pipeline and Terraform solution that enabled our partner to dynamically scale GPU resources for their simulations.

    Comments are closed.0ContainersDevOps
    Unsupervised driver safety estimation at scale, a collaboration with Pointer Telocation
    Unsupervised driver safety estimation at scale, a collaboration with Pointer Telocation
    July 30, 2018 Jul 30, 2018 07/30/18
    Omri Mendels
    A scalable unsupervised approach for driver safety estimation on Pointer Telocation's dataset

    Comments are closed.0Big DataMachine Learning
    Deploying a Batch AI Cluster for Distributed Deep Learning Model Training
    Deploying a Batch AI Cluster for Distributed Deep Learning Model Training
    July 9, 2018 Jul 9, 2018 07/9/18
    Stephanie Marker
    Microsoft and Land O'Lakes partnered to develop an automated solution to identify sustainable farming practices given thousands of satellite images of Iowan farms. Our primary goal was to reduce the reliance on manual interviewing of farmers and make it more profitable for farmers to follow sustainable farming practices. To tackle this issue our team deployed a highly scalable Batch AI cluster on Azure and then performed distributed deep learning model training with Horovod.

    Comments are closed.0ContainersMachine Learning
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