Researcher Lukas Tuggener and app developer Florian Seibold intend to revolutionize the world of professional music. They are digitizing sheet music using a completely new deep learning method: Deep Watershed Detection.

Machines can be creative, says Daniel Bisig, an AI expert who is conducting research at an art college. But they still lack a key ability to become real artists.

Proteins control most processes in living cells and are vital for humans. If it were possible to precisely determine all proteins in an organism, diseases such as Alzheimer's or cancer could be treated better and more individually.

Decisions made by machines based on AI have already been shown to be discriminatory or racist. This is due to the fact that the algorithms draw on data originating from humans, and this data is frequently biased – among other things with sexist prejudices.

Thanks to a navigation algorithm, drones are learning to autonomously perform acrobatic maneuvers. Using simulations, the autonomous aircraft are trained to become faster, more agile, and more efficient.

Researchers at MIT have developed a method that helps users understand how a machine learning model thinks and compare it to how a human thinks.

Doctors often query the electronic patient record for information that helps them make treatment decisions. But searching for an answer to a single question can take several minutes. A machine learning model could help professionals find information more efficiently.

Gaming with a serious purpose: Serious games support medical therapies, make it easier for children to learn, or encourage young people to explore art.

Geneva researchers have discovered a molecule that indicates diabetes even before the first symptoms appear. To identify it, they used machine learning methods to analyse thousands of molecules.

For AI systems, learning in “superposition” pays off. It allows them to simultaneously pursue multiple paths and thus learn faster.