Antimicrobial resistance has become one of the top global public health and development threats due to the misuse and overuse of antimicrobials in humans, animals, and plants. Researchers are leveraging artificial intelligence and interdisciplinary approaches to design antimicrobial peptides (AMPs) that show a reduced risk of inducing resistance. Precise targeting design makes AMPs more efficient for combating drug-resistant bacteria and fungi, with applications spanning medicine, agriculture, and food safety.

Neural Radiance Fields (NeRF) is a machine learning technique that can create 3D reconstructions of a scene from 2D images captured from multiple angles, representing it from entirely new perspectives. While well established for static images, existing methods struggle when using monocular videos as input due to motion blur. Now, researchers have developed MoBluRF: a two-stage framework that enables creation of accurate, sharp 4D (dynamic 3D) NeRFs from blurry videos, captured from everyday handheld devices.

19 September 2025 / Kiel. An international research team led by the GEOMAR Helmholtz Centre for Ocean Research Kiel has discovered a globally unique system on the seabed off the coast of Papua New Guinea. During their expedition aboard the research vessel SONNE, they came across the “Karambusel” field, where hydrothermal vents and methane seeps occur immediately adjacent to one another. The discovery is significant not only for geology but also provides new insights into the development of deep-sea communities. The study describing the discovery is published today in the journal Scientific Reports.

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model toward a data-driven, machine-learning typhoon forecasting system. They summarize the model’s performance in Typhoon Danas in 2025, noting that a hybrid Shanghai Typhoon Model provides a significant advancement in forecast accuracy. Their paper outlines a roadmap for evolving the physically driven Shanghai Typhoon Model into a purely data-driven, regional machine-learning weather-prediction model designed for typhoon prediction.