The targeted engineering of artificial proteins with unique properties – that is possible with the assistance of a novel method developed by a research team led by Prof. Dr Dominik Niopek at the Institute of Pharmacy and Molecular Biotechnology (IPMB) of Heidelberg University. It centers around a new AI model. This allows for forecasting how two proteins have to be fitted together at the molecular level from individual parts – subunits – in order to engineer a functional, adjustable new protein. Called ProDomino, this open-source tool opens up many different possible applications in biotechnology and medicine.

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based design method that uses numerical optimization to achieve load-independent operation. Their approach ensures stable output voltage (fluctuations under 5%) and high efficiency (86.7%) under varying loads. This breakthrough simplifies WPT design and could help create more practical, reliable wireless power systems for a wide range of applications.

Patients with microsatellite instability-high (MSI-H) tumors are likely to have better clinical outcomes than other patients. Recently, researchers from Yonsei University College of Medicine have proposed MSI-SEER, a novel AI model for accurate MSI prediction as well as immune checkpoint inhibitor responsiveness prediction. The innovative technology is expected to help battle gastric and colorectal cancers and further cancer research in general.

One of the best ways to protect artists’ creative work is to prevent it from ever being seen by “AI crawlers” – the programs that harvest data on the Internet for training generative models.  But most artists don’t have access to the tools that would allow them to take such actions.  And when they do have access, they don’t know how to use them. These are some of the conclusions of a study by a group of researchers at the University of California San Diego and University of Chicago, which will be presented at the 2025 Internet Measurement Conference in October in Madison, Wis.

In recent decades, the use of video datasets such as wildlife cameras or lab videos has become one of the most important tools for the study of animal behavior. These datasets help researchers make behavioral observations by capturing detailed and real-time data that can be analyzed repeatedly, allowing for quantitative analyses of movements, interactions and patterns, tracking, and behavioral classifications. When it comes to mice, however, most of the many existing video datasets only show simple or social actions that barely allow for the study of more complex, goal-oriented behaviors, such as problem-solving. Researchers from the Cluster of Excellence Science of Intelligence in Berlin have created a new, large-scale collection of video data involving mice working to solve “lockbox” puzzles in order to get a reward. This dataset, which includes multiple camera angles, is one of the largest mouse datasets ever obtained and it provides a benchmark for researchers to develop and test new tools for the study of complex animal behavior.