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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…
A TRIP THROUGH SWISS POLITICS AND HISTORY
In the project entitled “A research platform for data-driven democracy studies in Switzerland” (DemocraSci), we are performing a comprehensive analysis of the Swiss parliament archives. The project is a collaboration between the Chair of Systems Design at ETH Zürich,...
DEEPSPHERE : A NEURAL NETWORK ARCHITECTURE FOR SPHERICAL DATA
In the last 5 years, the field of Machine Learning has been revolutionized by the success of deep learning. Thanks to the increasing availability of data and computations, we now are able to train very complex/deep models and hence solve challenging tasks better than...