Computer scientists developed E2URec, an efficient unlearning method for LLM-based recommenders. It uses a lightweight module and dual teachers to forget specific data while maintaining performance, which innovates privacy handling in recommendation systems.

Researchers from California State University Northridge (CSUN), National University of Singapore (NUS), NASA Jet Propulsion Laboratory (JPL), and University of Wisconsin-Madison (UW-Madison) have introduced a new concept called autonomous additive manufacturing (AAM), where AI agents take over tasks traditionally managed by human operators. This breakthrough represents a major step toward creating autonomous manufacturing systems, offering improvements in knowledge representation and multi-modal capabilities in additive manufacturing (AM) processes.

The lead Ph.D. candidate, Mr. Haolin Fan, explained: "In the era of generative AI, this research points out a future where human expertise and AI collaborate seamlessly, leading to more resilient and adaptable manufacturing systems that could transform industrial production."

Research team proposed RSLR, a robust self-training approach with label refinement for unsupervised domain adaptation under label noise. It uses LNet for pseudo-labeling and TNet for target-specific training, achieving successful performance on benchmark datasets.

The protective effects of Lepidium draba L. on cyclophosphamide-induced hepatotoxicity and nephrotoxicity are explored in rats.

Recently, the research team led by Professor Heping Zhang at the Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, published a groundbreaking study in the prestigious journal Science Bulletin. Titled "A Genomic Compendium of Cultivated Food-Derived Lactic Acid Bacteria Unveils Their Contributions to Human Health", the study details the development of the comprehensive genomic dataset of food-derived lactic acid bacteria (FLAB). By systematically revealing their diversity and potential applications in food fermentation and human health, this research provides valuable scientific insights and foundational support for future studies and practical applications of LAB.