19-May-2026 Planetary research: Innovative Mars rovers ‘swim’ through the sand University of Würzburg Taking inspiration from nature, researchers from Würzburg and Bremen have developed a new Mars rover. Its wheels do not roll; they make swimming motions.
19-May-2026 In the digital health era, can we do better than a consent form? University of California - San Diego UC San Diego researchers argue that informed consent in digital health needs a reboot. Their studies show people want clarity, dialogue and real control over their data — proving consent should be a relationship, not just a form.
18-May-2026 The here and now of platform businesses Kobe University People buy things using services like Amazon and Rakuten and share information on social media. We call these places of commerce and exchange “platforms,” and nowadays, they’ve become essential parts of our lives. On the other hand, various issues have also been pointed out in recent years regarding the direction of these platforms, such as oligopolies formed by massive corporations and scams from fake advertising. We sat down with Professor ZENNYO Yusuke of the Graduate School of Business Administration, who researches platform businesses, to tell us about the background and current state of these rapidly growing businesses as well as some challenges moving forward.
18-May-2026 What a powerful El Niño could mean for Appalachia East Tennessee State University What could a powerful El Niño mean for Southern Appalachia?
18-May-2026 University of Oklahoma data scientist unveils free software for researching human-AI interactions University of Oklahoma A University of Oklahoma data scientist has released ECHO — Evaluation of Chat, Human Behavior, and Outcomes — a free, open-source platform that allows researchers to design and run behavioral experiments involving conversational AI without extensive programming knowledge. Developed at the OU School of Library and Information Studies, ECHO aims to lower technical barriers to human-AI interaction research and promote what its creator calls "healthy friction" in AI system design.
18-May-2026 Meet Dr. Claw: The open-source AI assistant revolutionizing the research workflow Lehigh University Lehigh University researchers have built the first “AI for Science” software tool designed to support the entire project workflow for research scientists. Dr. Claw is an open-source, full-stack AI research assistant that helps users refine ideas, conduct literature reviews, run experiments, draft and review papers, write grant proposals, and build presentations. It eliminates the need to toggle between specialized AI tools—such as deep research agents for source evaluation or code generators for data analysis—by unifying these capabilities within a single interface.
18-May-2026 AI reads cuneiform: A milestone for Ancient Near Eastern Studies University of Würzburg The new AI tool “Palaeographicum” is revolutionizing research into the cultures of the Ancient Near East: It identifies individual variations of cuneiform signs—a huge step forward for academia.
18-May-2026 From Helicobacter pylori to the AMR crisis: an interview with Microbiology in Health and Disease Lead Editor Liang Wang at the Journal of Applied Microbiology Applied Microbiology International Professor Liang Wang has just been appointed new Lead Editor in Microbiology in Health and Disease at the Journal of Applied Microbiology. In a fascinating new Q&A, he discusses antimicrobial resistance, emerging fields in microbiology and Helicobacter pylori.
18-May-2026 Why students ignore feedback – and the free tool helping them to use it constructively University of Surrey A new free online platform is tackling one of higher education’s most persistent problems – how students engage with and constructively use feedback they receive from academics.
18-May-2026 ETRI breaks the “memory wall” in large-scale AI training National Research Council of Science & Technology South Korean researchers have successfully developed a core technology that can fundamentally resolve “memory shortages,” a chronic bottleneck in large-scale artificial intelligence (AI) training. This technology is a next-generation memory expansion technology based on Ethernet, which is expected to drive infrastructural innovation across the entire AI and big data industries in the future. Electronics and Telecommunications Research Institute (ETRI) announced that it has developed “OmniXtend,” a new memory technology that overcomes GPU memory capacity limits and data movement overheads, which are regarded as the biggest problems in large-scale AI training. Funder Ministry of Science and ICT
