Creating new pharmaceutically active compounds involves modifying existing molecules. A new AI model can now predict where and how a molecule can be modified. The new method, developed by ETH Zurich researchers in collaboration with the industry, enables to identify promising sites on a computer. This saves on laboratory experiments and accelerates the search for new drugs.
Among the newly recognised Fellows of the American Physical Society is Rainer Wallny, whose group in the Department of Physics works on data analysis and hardware development in elementary particle physics.
ETH Zurich Professor Martin Vechev has been appointed by OpenAI to a group of researchers tasked with testing and evaluating the AI company’s new watermarking method. This technology was developed in response to the transparency requirements of the EU’s Artificial Intelligence Act.