Introduction of AI Research Centre
Many of the processes in our industries have been used for years, but new artificial intelligence technologies could dramatically change how they operates. At the same time, application and governance of these new technologies is an emerging task for DNV GL. As a newly established unit in Shanghai, Artificial intelligence Research Center aims to address them within two missions:
- Utilizing digital technology to enhance existing services or create new services. Assuring digital technologies
- Driven by many cutting-edge AI technologies (e.g. computer vision, deep learning, Internet of Things), the AIRC plans to set up two groups to achieve our mission: computer vision and Actionable IoT.
The computer vision group focuses on industrial research tackling the critical and complex challenge of applying computer vision to DNV GL’s business areas. We believe that the ability to see, to visually understand the complex world around us and respond to it, is critical for many of our businesses. This raises from demands of automation in these industries, especially for those where practical use relies heavily on human efforts. At the core technologies are computer vision algorithms – object detection and recognition to understand scene; visual SLAM to perform navigation, General Adversarial Networks (GAN) to perform risk management to many visual recognition systems, etc.
The Actionable IoT group will focus on algorithm controlled actionable IoT devices. IoT devices are creating smart cities, automated vessels and manufacturing. These kinds of devices are connected wirelessly to networks, while make decision on the edge – by deploying AI algorithms efficiently and self-responding remotely. Besides these advantages, a number of challenges can hinder the successful deployment of IoT system (sensors) and lends risks that DNV GL has never met before. The group aims to manage these risks by standardizing privacy and security of various kinds of IoT devices.
With these two groups, we hope to help our business areas become even more smarter and efficient.