Michael Abramov

The ultimate goal for AI technology in the automotive industry is full automation of all driving functions. Years of development, innovation, and cultural change may still be required before this dream is realised. Despite these long term challenges, right now computer vision based AI models are improving the driving experience

Drone based computer vision AI systems operate in a wide range of environments and perform a variety of important functions. Automated drone systems can be used to monitor livestock, chart the growth of agricultural crops, and even find missing people in the aftermath of natural disasters. In each use case

The world of professional sports is dynamic and diverse. Computer vision based AI models have shown the capacity to capture the changing states of player movements and game flows, enabling coaches and broadcasters to see more and react quicker. In order for AI models to understand movement it is vital

Efficient warehouse operations are at the core of the global economy. Amazon alone is estimated to employ 1 in every 153 Americans, with tens of thousands more working in other order fulfillment jobs. COVID-19 has only increased the importance of warehouse based distribution, as more and more consumers choose 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