by Joerg Simon Wicker | Jun 30, 2021 | Cheminformatics, Join us, Spatio-temporal Data Mining
Summary Molecular dynamics (MD) simulations encompass a range of computational techniques useful to sample the dynamical behaviour of molecules and relate it to their structure. Finding the link between molecular dynamics and molecular function is key to the...
by Joerg Simon Wicker | Jun 28, 2021 | Computational Sustainability, Join us
Summary This project lies in the intersection of Data Science and Computational Biology, aiming to provide a data-driven computational method and a standalone tool for scoring cell identity that will be i) easy to use and ii) integrated in open-source development...
by Joerg Simon Wicker | Jun 25, 2021 | Adversarial Learning, Bias, Join us
Summary We aim to design and develop new methods to attack machine learning models and identify the lack of reliability, for example related to bias in the data and model. These issues can cause problems in various applications, caused by weak performances of models...
by Joerg Simon Wicker | Jun 24, 2021 | Join us
Summary The project will begin the development of a standardised metric for measuring the capabilities of artificial intelligence systems. This metric will be based on the system’s performance during a suite of tasks that test decision making. The...
by Joerg Simon Wicker | Jun 23, 2021 | Computational Sustainability, Join us
Summary Our goal is to use machine learning methods to identify patterns in large bat call data sets. Bat calls are recorded by a network of sensors that are set up in forests and near rivers. They record sounds at the frequencies of bat calls, producing typically...
