Dianqi Han, an assistant professor in the Computer Science and Engineering Department at The University of Texas at Arlington, received a Faculty Early Career Development Program award from the National Science Foundation to advance his research and education initiatives.

Discover how AI-embodied surgical robots can revolutionize surgical practice—and the implications for clinicians, researchers, regulation, and healthcare systems.

Images generated using artificial intelligence (AI) depict more stereotypes and stigmas around depression than images used by the media to illustrate the disease. This is the main conclusion of a study on the perception held by different groups –including associations of patients, young people and communication professionals– of the images used by the media when talking about depression. “The images generated by AI depict more concepts related to stigma such as marginalization or social exclusion”, warns Núria Saladié, first author of the study and a member of the Science, Communication and Society Studies Centre (CCS) at Pompeu Fabra University (UPF). According to the authors, in order to convey news about mental health responsibly, avoiding reproducing stereotypes, there is a need to understand that technology is not neutral and to take into account the recommendations issued by patient associations.

Plant scientist Dario Leister and his team are investigating how cyanobacteria adapt to rapidly changing light intensities. This could help optimize photosynthesis in crops.