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IMPROVING SPECIES BIODIVERSITY ANALYSES AND CITIZEN SCIENCE FEEDBACK THROUGH MACHINE LEARNING
Biodiversity analyses in an Era of global changes In order to conserve and manage biodiversity, we need an improved understanding of essential biodiversity drivers and improved predictions of resulting biodiversity patterns in space and time. Patterns and processes...
“CLIMATE IS WHAT YOU EXPECT, WEATHER IS WHAT YOU GET”
What factors are driving changes in climate and how can we reduce the uncertainties? Weather, the short-term conditions of the atmosphere, is not climate; but climate, the “envelope” or distribution of weather over time and space, influences the weather. If we want to...
HOW TO GENERATE AUDIO USING TIME-FREQUENCY REPRESENTATIONS?
If I were to ask you to think about the most beautiful scenery you have ever seen, you would probably build in your mind an image of your experience. If you took a picture of that moment, you would probably agree that it represents your memory well. The reason is...
ACE-DATA: ANTARCTIC CIRCUMNAVIGATION EXPEDITION – DELIVERING ADDED VALUE TO ANTARCTICA
Understanding the complexity of the Earth systems and our climate is important to be able to make predictions about how they may change in the future. To do this, scientists use models which describe the relevant processes. Measurements taken in the field or in...
THE “DEEP DIVE” OF NATURAL LANGUAGE PROCESSING – 2
Deep learning – the area of machine learning generating its models from deep neural networks – has revolutionized the way we think of machine learning problems.While its disruptive force initially hit the field of computer vision with the massive adoption…
THE “DEEP DIVE” OF NATURAL LANGUAGE PROCESSING – 1
Natural language processing, i.e. the automated processing of human language with computers, is certainly not a new discipline. Some date it back to 1950, with Alan Turing’s famous test which a machine would pass by holding a convincingly “human” conversation…