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This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 2-May-2026 09:16 ET (2-May-2026 13:16 GMT/UTC)
A new spatial-adaptive active-learning workflow drastically reduces long-term testing requirements in catalyst discovery. Using only 23 synthesis experiments and 11 durability tests, the method identifies a Cu-RuO2 catalyst that operates for 625 h at 10 mA cm−2 in 0.5 mol L−1 H2SO4 with an overpotential of 177 mV.
Using Artificial Intelligence (AI) to Advance Translational Research (HEPI Policy Note 67), authored by Rose Stephenson, Director of Policy and Strategy at HEPI, and Lan Murdock, Senior Corporate Communications Manager at Taylor & Francis, draws on discussions at a roundtable of higher education leaders, researchers, AI innovators and funders, as well as a range of research case studies, to evaluate the future role of AI in translational research.
STEM education, emphasizing innovation and practical skills, is a global priority. However, integrating it systematically into core national curricula remains a challenge. A new study reveals that a school in Shanghai has developed a replicable “Chinese-Style STEM” model. This Deep Integration Teaching approach successfully achieves deep subject integration, thematic learning, and competency development without increasing instructional hours or student workload.
Scientists at the University of Connecticut have developed a handheld ‘pocket microscope’ that directly visualizes DNA and proteins in living cells without stains or labels. The system uses deep-ultraviolet light to map molecules with femtogram sensitivity, achieving 308-nanometer resolution across centimeter-wide areas. The device enables instant pathology diagnosis, identifies cancer cells, and maps brain neurons -- all while preserving samples’ natural state. This technology could transform medical diagnostics, from operating rooms to space missions.
New research from Australia highlights the need for artificial intelligence (AI) systems to complement – not impede – worker safety and welfare in workplaces.
While Australia has taken commendable first steps towards responsible governance of AI, its current regulatory apparatus lacks the legally binding and workplace-specific and mechanisms necessary to mitigate emerging risks, according to Future of Work expert Associate Professor Andreas Cebulla, from Flinders University.