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Using Blockchain To Securely Transfer And Verify Files

Lilian KasemJuly 30, 2019Jul 30, 201907/30/19

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 o

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

Zach MillerMarch 29, 2019Mar 29, 201903/29/19

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 m

Assessing The Severity Of Acne Via Cell Phone Selfie Images Using A Deep Learning Model

Peter Cornell AndringaFebruary 5, 2019Feb 5, 201902/5/19

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 conditio

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

Patty RyanJanuary 10, 2019Jan 10, 201901/10/19

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

Peter Cornell AndringaDecember 19, 2018Dec 19, 201812/19/18

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 autono

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

Mor ShemeshDecember 12, 2018Dec 12, 201812/12/18

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 submi

Active Learning for Object Detection in Partnership with Conservation Metrics

Olga LiakhovichNovember 6, 2018Nov 6, 201811/6/18

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 lev

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

Tomer RosenthalAugust 9, 2018Aug 9, 201808/9/18

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 effecti

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

Omri MendelsJuly 30, 2018Jul 30, 201807/30/18

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 c

Deploying a Batch AI Cluster for Distributed Deep Learning Model Training

Stephanie MarkerJuly 9, 2018Jul 9, 201807/9/18

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. Th

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