HOW DO WE WORK WITH AI?
The way we work with artificial intelligence, and specifically machine learning, is by aggregating and leveraging data to learn and build different typologies of models, such as predictive models, classification models, object detection models etc. that, through our products, provide tangible value to our customers. Where sufficient field data is not available or is too expensive to collect, we also resort to the generation of so called "synthetic data", such as images collected from a simulation environment where relevant equipment and assets have been modeled and rendered. Synthetic data allows us to train AI models that can more reliably recognize uncommon types of assets and infrequent typologies of defects.
Much of our focus is also on how to develop and apply AI “from sensor to decision”. That is, how AI can support people, society, industry and the business community from the in-house manufacture and testing of smart sensors, to development of intelligent systems for decision support, condition monitoring, process optimization, through to studying the effects of human-automation and human-robot interactions.
IFE | Future Lab
eSmart Systems | AI presentation in the Simulation Center
of applied AI experience
investment in applied AI