Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a long-standing challenge in the security of multi-agent reinforcement learning (MARL) systems: how to effectively disrupt coordinated agents under realistic threat models. The new method improves both attack effectiveness and cross-layer vulnerability exploitation, opening new opportunities for evaluating the robustness of AI-driven autonomous systems such as robotics, traffic control, and distributed decision-making platforms.

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world. The study, which is published in the leading cancer journal Annals of Oncology, provides information on which improvements or policy changes can be made in each country that would have the greatest impact on improving cancer survival. By going to the online tool created by the researchers, anyone can find their country and scroll down to see which factors, such as national wealth, access to radiotherapy and universal health coverage, are most associated with cancer outcomes.

University of Utah geoscientists use piezometers and aerial geophysical surveys to characterize newly discovered mountain-derived groundwater extending thousands of feet below Utah's Great Salt Lake playa after strange mounds appear on exposed lakebed.

Deborah S. Kelley, Professor in the School of Oceanography at the University of Washington, has been awarded the Wallace S. Broecker Medal by The Oceanography Society. This honor recognizes her innovative and impactful contributions to marine geoscience and chemical oceanography, her leadership in interdisciplinary and collaborative research, and her sustained commitment to education and mentorship.