Lignin-Derived carbon fiber catalyst achieves high efficiency in oxygen evolution reaction
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Jan-2026 21:11 ET (27-Jan-2026 02:11 GMT/UTC)
Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the rationality of their human opponents—whether first-year undergraduate students or experienced scientists—in strategic thinking games, such as the Keynesian beauty contest. While these models attempt to predict human behaviour, they often end up playing 'too smart' and losing because they assume a higher level of logic in people than is actually present. The study has been published in the Journal of Economic Behavior & Organization.
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a research paper in National Science Review. The team, drawing on principles from neuroscience, proposed an innovative neuromorphic spike-based large language model, aimed at enhancing the energy efficiency and interpretability of LLMs. This research not only opens new directions for the development of efficient AI but also provides valuable insights for the design of next-generation neuromorphic chips.
Researchers in China conducted a comprehensive overview of the fabrication of magnetic robotic materials, structural design, actuation systems, and their application scenarios. In terms of fabrication, permanent magnetic particles are discussed. Structural design encompasses one-dimensional, two-dimensional, and three-dimensional architectures, as well as bio-inspired structures. The actuation systems primarily introduce coil-based mechanisms and permanent magnet-based approaches. Application scenarios mainly include targeted drug delivery and minimally invasive surgery, among others.