Olga Liakhovich

Preventing Rhino Poaching With Microsoft Azure

May 7th, 2019

Background In the last eight years, poaching in Africa has been happening at an alarming rate. Currently, the continent loses three rhinos a day. As part of our team’s mission to find new ways that technology can positively impact our world, we’ve been collaborating with the Combating Wildlife Crime team from Peace Parks Foundation (PPF...

Active Learning for Object Detection in Partnership with Conservation Metrics

November 6th, 2018

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 ...

Satellite Images Segmentation and Sustainable Farming

July 5th, 2018

Introduction Sustainability in agriculture is crucial to safeguard natural resources and ensure a healthy planet for future generations. To assist farmers, ranchers, and forest landowners in the adoption and implementation of sustainable farming practices, organizations like the NRCS (Natural Resources Conservation Services) provide ...

Sequence Intent Classification Using Hierarchical Attention Networks

March 6th, 2018

Introduction In this code story, we will discuss applications of Hierarchical Attention Neural Networks for sequence classification. In particular, we will use our work the domain of malware detection and classification as a sample application. Malware, or malicious software, refers to harmful computer programs such as viruses, ransomware...

Bird Detection with Azure ML Workbench

October 24th, 2017

Introduction Estimation of population trends, detection of rare species, and impact assessments are important tasks for biologists. Recently, our team had the pleasure of working with Conservation Metrics, a services provider for automated wildlife monitoring, on a project to identify red-legged kittiwakes in photos from game cameras. Our ...

Learning Image to Image Translation with Generative Adversarial Networks

June 12th, 2017

We recently worked with our partner Getty Images, a global stock photo agency, to explore image to image translation on their massive collection of photos and art. The ability to use Deep Learning to change the aesthetics of a stock image closer to what the customer is looking for could be game-changing for the industry. With recent ...

Food Classification with Custom Vision Service

May 12th, 2017

Background Classification of a photo using machine learning tools can be challenging. Over the last year, significant improvements in the algorithms that power these tools have dramatically improved their efficacy. Developers are now able to create state-of-the-art complex models using powerful tools like Microsoft Cognitive Toolkit, ...