Westlake University
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Headlines · 3
- AI Agents Speed Up Research but Complicate Evaluation
Westlake University researcher Wang Huan said at the 1024 Model Force community forum that AI agents are accelerating literature review, coding, experiments, paper writing and review. He also argued that faster output does not necessarily mean faster scientific progress, because claims still require verification and peer review, placing greater pressure on research evaluation systems.
InfoQ 中文 AI&大模型 · 🔥 0 - Westlake University launches World Model Research Center
Westlake World Model Center was established at Westlake University’s Yungu Campus on October 31, according to IT之家 and 量子位. The university-level interdisciplinary platform focuses on world models and physical intelligence, with Yu Kaicheng serving as director and Jin Yaochu as chief scientist. Its stated agenda includes developing general world models that understand physical laws, predict action consequences, and learn from real-world feedback.
IT之家 AI · 🔥 0 - PAIR 2026 panel weighs what AI can do for quantum computing, and vice versa
At PAIR Conference 2026 in Shanghai on September 20–21, a roundtable examined how AI can aid quantum R&D and what quantum computing might offer AI. Hu Hongye said the Institute of Physics and the Beijing Academy of Quantum Information Sciences achieved automated calibration at more than 100 qubits without continuous experimenter involvement earlier this year, and that AI is being explored for quantum compilation, verification and error-correction optimization; he noted a Google AI control study required about 10^5–10^6 reinforcement-learning samples. Yan Zheng said strongly correlated many-body problems still need quantum computing advances, Wu Anbang expected AI agents to speed quantum software R&D in two to three years, and Hu's team proved a polynomial memory advantage for quantum generative models in specific tasks.
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