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富士胶片计划通过人工智能技术，将磁带产品的产量提高5倍，以满足日益增长的归档需求。
低成本和离线安全性特点意味着磁带仍然具有应用价值。
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From PID to Reinforcement Learning in Building HVAC Control: A Control-Architecture Review of Tuning Strategies, Formulations, and Deploymen
作者: Erfan Haghighat Damavandi, Davide Papurello, Mahdi Alibeigi | This paper reviews control architectures for building heating, ventilation and air-conditioning (HVAC) systems, ad
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FlowBatt: Flow Matching for Probabilistic Battery Degradation Prediction
作者: Hamidreza Eivazi, Eslam Sharaawy, Stefan Wittek | Battery degradation remains a central challenge in the development and broad application of sustainable energy technologies. A
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Controlling Sharpening in LLM Post-Training
作者: Simon Matrenok, Nicolas Menet, Nicolas Flammarion | LLM post-training via reinforcement learning has shown consistent improvements in accuracy at the cost of reducing behaviora
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Visual-to-Executable Procedural Reconstruction of Buildings
作者: Zichong Zhu, Zhihao Liu, Andrei Sharf | Procedural modeling offers compact, editable, and reusable representations for architectural content, but building such models still dep
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DepthGraft: Structural Regularization through Hierarchical Cross-Layer KV Reconstruction
作者: Xiaohan Qin, Xiangdong Zhang, Yu Wang | Scaling depth is a key route to stronger large language models, but Pre-LN architectures often suffer from depth-wise information diluti
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Meet Students Where They Are: Student-Prefix Teacher Adaptation for On-Policy Distillation
作者: Xue Zhang, Songming Zhang, Yunlong Liang | On-policy distillation (OPD) mitigates the student's exposure bias by optimizing on student-generated trajectories. However, student-
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CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
作者: Xinlei Yu, Gen Li, Ji Zhao | Despite recent advances in CUAs, their development remains constrained by the limited diversity, controllability, and reliability of interaction da
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ComplianceAtlas: A Taxonomy-Driven Agentic AI Framework for Automated AI Act Gap Analysis and Remediation
作者: Ilias Driouich, Hongliu Cao, Eoin Thomas | Assessing regulatory compliance for high-risk AI systems requires systematic identification of technical gaps such as missing control
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Inner optimizers in active-learning Kriging reliability analysis: a pre-specified comparison and the unconservative estimates left by unlear
作者: Wei-Chang Yeh | Active-learning Kriging often replaces candidate pools by continuous metaheuristic search. A pre-specified comparison sharing surrogate, population and stopping
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From Local Skills to Long-Horizon Web Tasks: Progressive Skill Exploration for LLM Web Agents
作者: Xueyang Feng, Xiaohe Bo, Xu Chen | Large language models (LLMs) are driving autonomous agents toward real-world environments, with the Web emerging as one of the most represent
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Postmortem on Claude Code Cursor extension hack
HN ⭐ 7 · 1 评论
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据阿波罗经济学家称，人工智能对大多数公司来说并不会带来任何财务收益。
尽管在人工智能领域投入了大量资金，并进行了广泛的宣传，但除了科技行业之外，这项技术并未给美国的企业带来任何财务收益。
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I Am the Reason OpenAI Is Killing Unlimited Chats
HN ⭐ 82 · 45 评论