In fisheries acoustics, echo sounding is applied to detect fish and other marine objects in the ocean; a central tool for stock assessments and establishing fishing quotas. Fish detection and species classification from echo sounder data is typically a manual process. In our work, we automate this process by training a convolutional neural network for semantic segmentation using supervised learning. The talk will describe the data, the CNN-approach used for segmentation – as well as issues related to the training data, such as the quality of annotations when used in a machine learning setting.
Benjamin Kellenberger from EPFL presents his work with limited training data in applications of unmanned aerial vehicles in earth observation to monitor wildlife. He presented his work "When a Few Clicks Make All the Difference: Improving Weakly-supervised Wildlife Detection in UAV Images", on the first Visual Intelligence Workshop on Limited training data.
Deep learning is the cornerstone of artificial intelligence applications across a wide range of tasks and domains. An important component that is missing from deep learning is explainability, i.e. the ability to explain what influenced a prediction made by a deep learning-based system. Explainable deep learning is an active area of research, with new algorithms being proposed at a rapid pace. This presentation highlights existing methods for explainable deep learning, as well as how to model uncertainty in explainability.
These two very interesing keynotes sets VI's work in the larger picture at the official opening of SFI Visual Intelligence. Professor Mark Girolami from the University of Cambridge and the Alan Turing Institute presents "From Data to Knowledge to Societal Impact and Value". Erik Steen (PhD) and Chief Engineer Cardiovascuar Ultrasound, GEVU presents "The Intelligent Ultrasound Scanner while giving a practical viewpoint of the innovation needs and possibilities within their domain of expertise.
The official opening of SFI Visual Intelligence with speeches and greetings by Director of Visual Intelligence Robert Jenssen, Rector of UiT Anne Husebekk, Director of UNN Anita Schumacher and many more.
Norwegian Artificial Intelligence Research Consortium has produced a podcast hosted by CEO of NORA, Klas Pettersen, and Morten Goodwin, Professor at the University of Agder. The podcast aims at discussing artificial intelligence in depth with different guests. In this episode center leader of Visual Intelligence Robert Jenssen guests the podcast and discuss some important concepts Visual Intelligence is working with.
Visual Intelligence will be co-hosting the midnight sun conference for patient-centered artificial intelligence, June 15-16 in 2021 in Tromsø.
The Norwegian health services have a great potential when it comes to development and utilization of artificial intelligence and digital health technologies. At this webinar different contributors present how AI is and can be implemented in the Norwegian health services today and towards 2026. Visual Intelligence is an important contributor within research and development in this field, and Robert Jenssen presents VI's strategy at the this webinar.