Michael Abramov

In the wake of digital transformations, businesses must keep pace with the demand for digital content and the ever-growing number of internet users. This is especially true considering that 62% of internet users in 2017 accessed digital video, according to a report by eMarketer. By the end of 2020, the

Microbiology and chemistry researchers are beginning to examine the potential of computer vision based AI technology in their fields. Machine learning techniques could open up an exciting range of possibilities, from investigating novel chemical compounds to quickly identifying cells and microorganisms. Much of this technology is in its infancy and

Despite the COVID-19 pandemic in-person shopping is still a part of our daily life. Even now it is difficult for online shopping to compete with the convenience of picking up food and essentials from a local store. The continued popularity of convenience stores means that they are also a focus

Computer vision models are being used to keep cities safer. Automated security cameras can detect crimes being committed, or monitor adherence to COVID-19 regulations, and traffic monitoring applications can reduce road accidents. In addition, AI powered monitoring use cases are also being deployed in less obvious ways. It is important

The use of computer vision based AI models for security purposes can be controversial. However, there is little doubt that AI has the capacity to make businesses and public spaces safer. Security cameras are everywhere but it can often be challenging for security staff to monitor them effectively 24/7.

Automotive AI models have the potential to drastically improve safety on our roads. Automated vehicles should be able to navigate traffic reliably and avoid accidents at a higher rate than human drivers. For AI models in this fast growing sector reliability is absolutely essential, failures could lead to high profile