ICT Journal | A platform to share the work of data scientists [In French]

The lack of transparency of black-box models is a fundamental problem in modern Artificial Intelligence and Machine Learning. This work focuses on how to unbox deep learning models for image classification problems.

Another office for the Swiss Data Science Center will be established at the Paul Scherrer Institute PSI. To this end, the ETH Board has approved an increase of five million Swiss francs in the budget of the strategic focus area Data Science. The main aim of this expansion is to help improve the evaluation and processing of the growing amounts of data from large and complex research infrastructures, sensor networks, and databases at PSI and the other three federal research institutes, Empa, WSL, and Eawag. The resources and expertise will be available to all institutes in the ETH Domain.

It is difficult to effectively monitor and track progress in urban housing. We attempt to overcome these limitations by utilizing self-supervised learning with over 15 million street-level images taken between 2008 and 2021 to measure change in London.