In the beginning of February a demonstration/workshop was held by INTERACT III WP6 to demonstrate how Machine Learning techniques can be used on example data to showcase specific algorithms and methods, and the outcomes thereof. A wide variety of ML techniques have been used for this demonstration, such as Computer Vision (CV), Natural Language Processing (NLP) and decision trees in application areas such as classifying animals and mushrooms, using satellite data for earth observations, digitizing and summarizing logbooks, as well as predicting and classifying tabular data.

This demonstration has shown that many exciting possibilities exist for INTERACT researchers to use AI tools to analyze data and create new insights, with or without coding. These possibilities should not be overlooked and even smaller research projects can highly benefit from this technology.

The deliverable report from this demonstration is available below or under “deliverables” where all the other deliverables are available.

  • D6.1 A Preliminary Study on Inquiries and Needs from Station Managers and Researchers

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  • D6.2 Workshop Report on Artificial Intelligence and Machine Learning for Arctic Research

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  • D6.3 Demonstration Report on Artificial Intelligence and Machine Learning

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  • D6.4 Report on Future Strategy and Planning for the Area of AI and ML to be Applied in Arctic Research

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