Background The International Committee of the Red Cross (ICRC) Trace-the-Face program uses photos to match up missing family members who have been separated due to migration and conflict. We have been working with the ICRC to update and extend Trace-the-Face to perform automatic face detection and matching using machine learning, via Micr
This post explores how we can leverage machine learning techniques to help partially automate the processes of accounting and expenditure reimbursement. Often, such methods require manual input of information from an invoice or receipt, such as total amount spent, tax amount, type of expenditure, transaction date, etc. This code story will dem
Over the years, due to the wide adoption of Amazon S3, the S3 API has become the de facto standard interface for almost all storage providers. These S3-compatible competing service providers use the standard programming interface to help customers migrate and to enable customers to write cloud-agnostic solutions. Customers use the S3 API to co
Recently, we were working with a large appliance manufacturer training Convolutional Neural Networks (CNNs) for image recognition, which involved solving a wide variety of problems. Herein, we focus on the end result - when you have a deployed Neural Network ready to score images taken by your client, how do you get the images to the Neural Ne
When building applications which require data encrypted at rest and on-the-wire there may be significant complexity added to the software development process. Organizations building these types of applications must not only invest in the additional resources to write the code, but they must also ensure the implementation is actually secure.