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Image annotation is the foundation of many machine learning models. By attaching labels and semantic segmentation techniques to images, annotators add context and information that facilitate the training of computer vision systems. Image annotation also allows machine learning engineers to refine their models, establish goals, and work out how to

Robots have been a tool for surgeons in a variety of medical contexts for decades, and today a range of robotic tools assist surgeons on a daily basis. Usually these devices are operated by the surgeons who use them to perform micro surgical procedures, benefiting from increased precision and a

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

The United States’ Centre for Disease Control and Prevention estimates that around 10 Americans die from unintentional drowning every day. Tragically, many of these accidents involve young children and residential pools. Unsupervised and unfenced pools can lead to drowning incidents occurring without the knowledge of parents or guardians. More and

Advances in machine learning and computer vision technology are beginning to impact a surprisingly diverse array of industries. Automated systems have the capacity to extend the reach of researchers and companies, acting as a force multiplier that greatly improves efficiency. Pest control is one sector that is beginning to recognize

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