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Shocked colleagues mourn China's PKU climate scientist Wen Xinyu, dead at 45
Shocked colleagues mourn China's PKU climate scientist Wen Xinyu, dead at 45

South China Morning Post

time7 days ago

  • Science
  • South China Morning Post

Shocked colleagues mourn China's PKU climate scientist Wen Xinyu, dead at 45

Chinese climate scientists are mourning the loss of a 'pure, passionate' scholar after the sudden death of atmospheric physicist Wen Xinyu at just 45 years of age. The associate professor with the Department of Atmospheric and Oceanic Sciences at Peking University's School of Physics died on June 14 after suffering a heart attack, according to the obituary published by his home institute. The obituary paid tribute to Wen's important contributions to the field of climate change and his great efforts in a career that was largely devoted to teaching and research. Colleagues were shocked by his sudden death, particularly at such a young age and in such apparent good health. Zhou Tianjun, deputy director general at the Institute of Atmospheric Physics (IAP) under the Chinese Academy of Sciences, and a fellow PKU alumnus, told the South China Morning Post that Wen's health 'has been very good'. According to Zhou, who graduated earlier, Wen was a typical Peking University graduate who did not blindly follow others or chase trends, but instead had his own thoughts and ideas. 'He is persistent and full of enthusiasm in his work,' he said.

Chinese scientists find first evidence that AI could think like a human
Chinese scientists find first evidence that AI could think like a human

South China Morning Post

time14-06-2025

  • Science
  • South China Morning Post

Chinese scientists find first evidence that AI could think like a human

Chinese researchers have confirmed for the first time that artificial intelligence large language models can spontaneously create a humanlike system to comprehend and sort natural objects, a process considered a pillar of human cognition. It provides new evidence in a debate over the cognitive capacity of AI models, suggesting that artificial systems that reflect key aspects of human thinking may be possible. 'Understanding how humans conceptualise and categorise natural objects offers critical insights into perception and cognition,' the team said in a paper published in the peer-reviewed journal Nature Machine Intelligence on Tuesday. 'With the advent of large language models (LLMs), a key question arises: can these models develop humanlike object representations from linguistic and multimodal data?' 13:28 How a shift toward Trump by tech giants like Meta could reshape Asia's digital future How a shift toward Trump by tech giants like Meta could reshape Asia's digital future LLMs are AI models trained on a vast amount of text data – along with visual and audio data in the case of multimodal large language models (MLLMs) – to process tasks.

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