Researchers from the University of Phoenix College of Doctoral Studies Center for Educational and Instructional Technology Research (CEITR) have published new peer-reviewed research examining graduate students’ attitudes toward artificial intelligence (AI) chatbots and their reported use of ChatGPT in higher education environments. The article, “Relationship between Students’ Attitudes towards Artificial Intelligence (AI) and their usage of AI Chatbots,” appears in the International Journal of AI in Pedagogy, Innovation, and Learning Futures, 2026(1).

The University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science is a core partner in a new national effort to strengthen America's seafood supply through aquaculture research and technology development.

Scientists have developed a new way to improve the reliability of DNA origami for future biomedical, agritech and other technological applications.

Peking University, June 9, 2026: Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their robustness under fluorescence noise remain significant challenges. Professor Xi Peng's team from the College of Future Technology at Peking University has developed LargePNet, a novel general-purpose fluorescence image restoration network. By exploiting large-view structural correlations in biological fluorescence images, LargePNet aggregates large-view statistical information through a dedicated network architecture, overcoming the loss of global contextual information caused by conventional patch-based training. The method significantly improves restoration accuracy and large-size image inference efficiency. The work, entitled 'Pushing the limits of fluorescence imaging with a restoration neural network aggregating large-view statistics,' was recently published in Nature Communications, providing powerful imaging support for long-term live-cell fluorescence imaging and multicolor super-resolution microscopy.