The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Oh-Hyeon Choung, Riccardo Vianello, Marwin Segler, Nikolaus Stiefl, and José Jiménez-Luna, Extracting medicinal chemistry intuition via preference machine learning, Nature Communications, (2023 ...

Machine learning and AI projects often require integrating multiple data sources, such as structured and unstructured data. Integrating data from different databases or data formats can be complex ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

The ETH Zurich Campus Heilbronn is excited to announce the inaugural edition of the Interdisciplinary School on Machine Learning and Artificial Intelligence for Science. This in-person event will take ...