Michael Abramov

Aerial technology systems are a vital, and sometimes controversial, part of modern society. Drones are used in every industry, from entertainment to the military. Similarly, satellite imagery plays an important role in many sectors. Aerially captured images and video give a different perspective that can show things that are not

The data annotation process is the engine of any computer vision based AI project. In order to create cutting edge machine learning models with world changing applications, innovators need access to precise training data at scale. In order to provide this level of labeled image and video data companies and

Computer vision AI systems have the capacity to reliably identify objects in digital images. AI developers are using this capability in a range of industries to improve efficiency, customer experience and safety. Object recognition may be of particular value in the retail sector. Retailers are beginning to introduce AI into

Computer vision AI is helping farmers to improve yields and strengthen the global food supply. Advances in machine learning have led to a range of applications that help growers to monitor and protect their crops. However, these important use cases are made possible by data annotation, the process that creates

Production defects can lead to dissatisfied customers at best and dangerous accidents at worst. It is in the interests of producers in all industries to reduce the amount, and severity of production errors. This task can be a difficult one however, with rigorous quality control procedures requiring extensive investment in

The growth in solar photovoltaic systems (solar PV) capacity globally has been near exponential over the past 20 years. Solar PV is expected to be the fastest growing renewable energy source in the US until 2050. The ever increasing efficiency of solar panel technology, combined with improvements in manufacturing, installation,