Michael Abramov

Automated vehicles promise to transform the way we travel in the coming years. This technology is already present in numerous products and is increasingly being adopted by large corporations. However, substantial challenges still remain before automated vehicles become a mainstay for consumers across the globe. Machine learning algorithms that drive

Mining has traditionally been a volatile industry that experiences significant fluctuations in profitability. Changes in demand globally can have dramatic effects on the bottom line of many mining companies. Stimulus spending in response to the Covid-19 pandemic has caused a spike in prices for metals and other raw materials, but

Disaster preparedness saves lives and reduces the cost of recovery. The United Nations Office for Disaster Risk Reduction estimates that every US$1 invested in risk reduction and prevention can save up to US$15 in post-disaster recovery, whilst every US$1 invested in making infrastructure disaster-resilient saves US$4

Securing public spaces is of vital importance for businesses and governments. Functioning security systems reassure customers, streamline public services, and ultimately protect both profits and people. However, guaranteeing that spaces remain crime and danger free means committing significant resources to surveillance and security staff. Monitoring security cameras requires patience, and

Search and rescue in a marine environment is a demanding, year round responsibility. On an average day the Canadian Coast Guard responds to 9 search and rescue incidents, assists 68 people and saves 18 lives. The ocean is a dynamic and unpredictable space to operate in for both machines and

Data creation defined Finding the right image and/or video data for computer vision based machine learning projects can be challenging. The vast majority of data for AI training is collected from open sources such Imagenet and Google Open Images. Datasets assembled from online repositories are then annotated using annotation