Inna Nomerovska

The contemporary film and media landscape is experiencing a disorienting change driven, in part, by new technology. In film, digital effects and the move to streaming content, has led to a revolution in what is possible visually as well as impacting the economics of film distribution. In the news media,

The COVID-19 pandemic has further accelerated the ongoing shift towards internet shopping and home delivery. Delivery giant Amazon reported a near 200% rise in profits in 2020, cementing at home shopping as the dominant consumer habit for the coming decades. As demand for delivery services accelerate computer vision based AI

Smart livestock farming has the potential to meet the challenges of food production in the twenty-first century. Computer vision based AI monitoring systems have the capacity to support farmers and improve animal welfare, whilst promoting efficiency and productivity. Livestock management is being transformed by machine learning models that can manage

Reliable emotion detection is one of the holy grails of deep learning and AI research. The creation of AI models that are consistently able to recognise and contextualise human emotions promises revolutionary applications across a number of industries. Widespread deployment of this technology will allow companies and other organisations to

Facial recognition technology is helping to create a safer world. Computer vision based AI models have the capacity to protect homes and secure public spaces by identifying threats and alerting security services. However, as this technology moves into the real world significant challenges are beginning to emerge. Until now facial

Annotating image and video data for machine learning is a substantial challenge for all AI companies, but for startups it can be a significant bar to development. Accurate, quality image annotation requires a large investment of time and resources, potentially detracting from the core mission of companies at a precarious