Feature Stories
Updates every hour. Last Updated: 20-Mar-2026 17:15 ET (20-Mar-2026 21:15 GMT/UTC)
ETRI expands computing resources with light...opening a new era for AI datacenters
National Research Council of Science & TechnologyA team of Korean researchers has developed the world’s first technology that can freely connect and disconnect core computing resources such as memory and accelerators with “light” in next-generation artificial intelligence (AI) datacenters. Electronics and Telecommunications Research Institute (ETRI) announced the development of a new optical switch based datacenter resource interconnection technology (Optical Disaggregation, OD). This technology is regarded as a core next-generation optical network technology that is designed to resolve the shortage of computing resources due to the increasing AI services and that enables faster and more efficient operation of future datacenters.
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- Ministry of Science and ICT
Uncovering links between early Earth’s carbon cycle and ballooning oxygen levels
University of Victoria- Journal
- Proceedings of the National Academy of Sciences
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- Natural Sciences and Engineering Research Council of Canada
£7 million funding for remarkable tool to drive next-generation AI
University of EdinburghThe new technology ensures that the Scottish Microelectronics Centre (SMC), based at the University of Edinburgh's School of Engineering, will continue to be a leading centre for semiconductor prototyping and production for the next 50 years.
Behaviors behind high‑impact AI use
University of Texas at AustinA landmark study of 1.4 million real workplace interactions with artificial intelligence reveals teachable differences between routine and sophisticated AI use that offer organizations a concrete road map for identifying and scaling high-impact AI capability.
The joint study by KPMG LLP, the U.S. audit, tax, and advisory firm, and the McCombs School of Business at The University of Texas at Austin identifies distinct, observable patterns in how high‑impact users frame problems, guide AI reasoning, and apply AI across complex tasks that KPMG is applying internally and in its work for clients. The study is published today in Harvard Business Review.
A better method for identifying overconfident large language models
Massachusetts Institute of TechnologyA new technique for assessing the reliability of a large language model’s predictions is better at identifying when the model is confident, but wrong. This more accurate method for uncertainty quantification could help users know whether to trust the model’s outputs.
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- MIT-IBM Watson AI Lab
Ask the Expert: Colorectal cancer and its recent prevalence among young people
University of Texas Health Science Center at HoustonMind over metal: Staying wary of metal-related toxicities
Texas A&M UniversityDr. Christine Rutter, a clinical associate professor at the Texas A&M University College of Veterinary Medicine and Biomedical Sciences, discusses the health risks associated with different metals and how owners can keep their pets safe.