Michael Abramov

Medical practitioners and AI developers are beginning to bring AI into the world of patient care. Computer vision based AI models can help diagnose conditions, prevent illness and improve recovery. And increasingly AI applications are being developed to help surgeons and reduce surgical complications. AI systems can support skilled surgeons

The development of computer vision based machine learning technology is defined by changes in data needs, company structure, and workforce size. Machine learning companies of all sizes are heavily reliant on access to annotated training data of sufficient quality, at the scales that their projects require. For startups, this could

Computer vision based AI models are required to interpret and operate within a complex world, filled with difference and variety. As a result machine learning algorithms need to be trained with image and video data that reflects a chaotic real world. Image and video datasets for machine learning need to

AI can keep businesses and public spaces safe. Computer vision models can take on the burden of security surveillance and ensure that camera systems are monitored 24/7. Developers in this sector are beginning to bring AI applications to market that can support security staff by giving advanced warning of

COVID-19 had led to changes in many industries. Many offices have moved to a remote working model, and supply chain stresses have impacted many businesses. In the agricultural sector the pandemic has led to a labour crisis. The industry has responded by looking to new technology for solutions. Computer vision

The ability to keep drivers safe is one of the key advantages of computer vision. Autonomous vehicles should be far safer for drivers and other road users in the near future. In the present in-cabin driving aides can help drivers stay alert on busy highways. Driver protection is the goal