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Using Blockchain To Securely Transfer And Verify Files

Lilian Kasem (she/her) July 30, 2019 Jul 30, 2019 07/30/19

As 3D printing becomes an integral part of the manufacturing industries, there are new challenges that must be solved to promote mass adoption. Primarily, how do you securely transfer accredited schematics and verify data integrity once it's been delivered? In other words, how can you ensure the schematics were not tampered with in the midst ...

Using uPort For Authentication On Blockchain To Improve Standards On The Food Logistics Chain

Zach Miller March 29, 2019 Mar 29, 2019 03/29/19

Background Supply chains – made up of individual suppliers, shippers, warehouses, and customers – are extremely complicated conglomerates. When something goes wrong along a supply chain, knowing where and how a shipment went bad can be a huge use of time and energy. This is especially true in the food logistics industry. While ...

Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model

Hang Zhang February 5, 2019 Feb 5, 2019 02/5/19

Background Watch this episode of the Decoded Show for an in-depth look with Gary Bradski, the inventor of OpenCV, and the Nestlé team. In the Global Burden of Disease Study 2015, Acne was identified as the 8th most common disease in the world and is estimated to affect as many as 700 million people globally. This skin health ...

Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

Patty Ryan January 10, 2019 Jan 10, 2019 01/10/19

Business Problem For a subscription service business, there are two ways to drive growth: grow the number of new customers, or increase the lifetime value from the customers that you already have by retaining more of them. Improving customer retention requires the ability to predict which subscribers are likely to cancel (referred to as churn...

Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery

Ryan Pedersen December 19, 2018 Dec 19, 2018 12/19/18

Background German car manufacturer BMW has always been at the forefront of technological advancement within the auto industry. And a major part of the company’s innovation focus is on its production system, ensuring quality and flexibility alike. When it comes to cutting-edge production systems, and more precisely logistics, new ...

Social Stream Pipeline on Databricks with auto-scaling and CI/CD using Travis

Mor Shemesh December 12, 2018 Dec 12, 2018 12/12/18

Background For the tech companies designing tomorrow’s smart cities, making local authorities able to collect and analyze large quantities of data from many different sources and mediums is critical. Data can come from different sources – from posts on social media and data automatically collected from IoT devices, to information ...

Active Learning for Object Detection in Partnership with Conservation Metrics

Olga Liakhovich November 6, 2018 Nov 6, 2018 11/6/18

Introduction Using artificial intelligence to monitor the progress of conservation projects is becoming increasingly popular. Potential applications range from preventing poaching of endangered species to monitoring animal populations in remote, hard-to-reach locations. While proven to be extremely effective, computer vision AI projects ...

Infrastructure as Code – On demand GPU clusters with Terraform & Jenkins

Tomer Rosenthal August 9, 2018 Aug 9, 2018 08/9/18

Background Developing robust algorithms for self-driving cars requires sourcing event data from over 10 billion hours of recorded driving time. But even with 10 billion-plus hours, it can be challenging to capture rare yet critical edge cases like weather events or collisions at scale. Luckily, these rare events can often be simulated ...

Unsupervised driver safety estimation at scale, a collaboration with Pointer Telocation

Omri Mendels July 30, 2018 Jul 30, 2018 07/30/18

Background Connected cars, which have the ability to collect and transfer data via cellular networks, offer us the opportunity to make road transport safer, more organized and more ecologically friendly. To push forward widespread adoption and help the technology fully enter the mainstream, manufacturers and third parties, like insurance ...

Deploying a Batch AI Cluster for Distributed Deep Learning Model Training

Stephanie Marker July 9, 2018 Jul 9, 2018 07/9/18

Distributed Deep Learning Model Training on Batch AI For Land O'Lakes Sustainability Project With population growth spiking around the world, and scientists warning of the risk of climate change on the environment around us, across industries corporations are turning to innovation to help them make practices greener and more sustainable. ...

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