Computer Science

Data contains much more than just the information on the surface. With statistics, deeper cause-and-effect relationships can be brought to light. This is what Alexander Marx is researching as a Fellow at the ETH AI Center using artificial intelligence. One of his goals is to be able to make predictions regarding diabetes in children.  

Today, the Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT) has been launched in Sofia. INSAIT is a new Bulgarian Institute established in partnership with ETH Zurich and EPF Lausanne.

EPFL’s Blue Brain Project has found a way to use only mathematics to automatically draw neurons in 3D, meaning we are getting closer to being able to build digital twins of brains.

Researchers at PSI have observed for the first time how tiny magnets in a special layout align themselves solely as a result of temperature changes. This view into processes that take place within so-called artificial spin ice could play an important role in the development of novel high-performance computers. The results were published in the journal Nature Physics.

Deep learning models are becoming increasingly common in bioimage analysis. Yet a lack of standardization and the use of these algorithms by non-experts are potential sources of bias. Scientists from EPFL and the European Bioinformatics Institute (EMBL-EBI) offer practical tips and guidance in a paper recently published in the journal IEEE.