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特斯拉 Cybertruck 侧向摄像头升级：依托被动空气动力学实现雨水自清洁
IT之家 9 月 10 日消息，特斯拉很少等待传统的车型年更迭来推出硬件改版。相反，该公司将装配线视为一个不断进化的环境，一旦更优质的工程设计通过验证（且现有库存耗尽），零部件就会立即更新。最近下线的改进针对的是 Cybertruck 的侧补盲摄像头。 特斯拉 Cybertruck 首席工程师韦斯 …
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Agent-MD: Selective LLM Intervention with Event-Driven Escalation for Stateful GCMC--MD Campaigns
用LLM智能干预分子模拟，事件驱动升级机制让GCMC-MD计算更高效。
arXiv:2608.07637v1 Announce Type: new Abstract: Long-running molecular simulation campaigns require repeated continuation from saved states, provenanc…
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Mean-Field Dynamics of Chain-of-Thought Reasoning in Large Language Models
用平均场理论拆解思维链推理的动态机制，为理解大模型推理过程提供全新数学视角
arXiv:2608.05152v1 Announce Type: cross Abstract: Large language models (LLMs) with chain-of-thought reasoning have been widely applied in recent year…
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DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery
用大模型结合领域知识做符号回归，自动发现动力学模型，科研自动化新思路。
arXiv:2608.05120v1 Announce Type: new Abstract: Kinetic model discovery is a central challenge in chemical engineering, as accurate rate expressions a…
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Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs
发现ChatGPT类AI中温度升高反而降低熵的奇特现象，颠覆直觉的动力学研究。
arXiv:2608.00939v1 Announce Type: cross Abstract: Increasing the temperature of an ordinary many-state system increases access to a wider range of sta…
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CN101 - A Digital Thermodynamic Computer for Generative AI
热力学计算硬件新范式，为生成式AI提供另类算力路径
arXiv:2608.00754v1 Announce Type: cross Abstract: Thermodynamic computing is an emerging hardware paradigm, in which stochastic physical dynamics serv…
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Towards simultaneous decoding of kinetic and kinematic movement parameters during grasp and lift task by noninvasive brain imaging
非侵入式脑成像技术新突破：同时解码抓取举升中的动力学与运动学参数
arXiv:2607.24081v2 Announce Type: replace-cross Abstract: Brain-machine interfaces (BMIs) can assist individuals with limited mobility, such as stroke…
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Many-body Tipping Dynamics of ChatGPT-like AIs
从物理多体系统视角揭示ChatGPT类AI的倾斜动力学，探索涌现行为与相变机制。
arXiv:2607.25279v1 Announce Type: new Abstract: Why do ChatGPT-like AIs, despite major architectural and training differences, unexpectedly tip to und…
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Neural Dynamics of AI-attributed Irony Reveal a Partial Intentional Stance
从神经科学角度揭示人类如何解读AI的讽刺意图，探索大语言模型幽默背后的认知机制。
arXiv:2510.17168v2 Announce Type: replace Abstract: As Large Language Models (LLMs) are increasingly deployed as social agents and trained to produce …
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Leveraging Biokinetic Knowledge Priors for Data-Scarce Bioprocess Modeling
用生物动力学知识先验解决数据稀缺难题，为生物过程建模开辟新路径——ICML 2026 AI for Science 论文
arXiv:2607.20539v1 Announce Type: cross Abstract: While deep learning has accelerated drug discovery, its impact on biomanufacturing has been consider…
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Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination
Koopman理论赋能世界模型，谱约束稳定想象生成，突破模型长期预测的不稳定瓶颈。
arXiv:2607.19719v1 Announce Type: new Abstract: Latent world models improve sample efficiency in continuous control by optimizing policies over imagin…
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Show HN: Sidereon: GNSS and Astrodynamics (Python, Rust, JavaScript, C, Elixir)
多语言卫星定位工具，Rust核心实现SGP4传播与GNSS解算，开源且高性能。
I’ve been building Sidereon, an MIT-licensed GNSS positioning and astrodynamics engine. The submission is a browser demo running the Rust core client-…
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Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test
预注册实验揭示前沿大模型代理在经济模拟中目标发散骤降，映射出信息处理的结构性极限。
arXiv:2607.06001v1 Announce Type: new Abstract: We report a pre-registered, two-part experiment on small economies of frontier language-model agents (…
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On a Geometry of Interbrain Networks
脑间网络几何建模的前沿研究，揭示多人脑活动交互的结构规律
arXiv:2509.10650v4 Announce Type: replace-cross Abstract: Effective analysis in neuroscience benefits significantly from robust conceptual frameworks.…
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突破国际难题：我国成功研制全球首款基于相变忆阻器的神经动力学系统芯片
IT之家 7 月 5 日消息，据北京大学信息工程学院消息，新基石研究员、信息工程学院院长、广东省存算一体芯片重点实验室主任杨玉超教授团队，联合中国科学院上海微系统与信息技术研究所宋志棠研究员团队等，在国际顶级学术期刊《科学》发表题为“A sub-10-millisecond neural dynam…
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我国研制全球首款神经动力学芯片，首次将单步运算时延压缩至 2.12 毫秒
全球首款神经动力学芯片在线模拟平台，将单步运算时延压缩至2.12毫秒，脑皮层重建等任务提速最高达478倍，突破实时计算瓶颈。
IT之家 7 月 4 日消息，北京大学集成电路学院官方公众号昨日（7 月 3 日）发布博文，宣布联合发布全球 首款基于可控存内计算的忆阻器神经动力学芯片， 首次将神经动力学系统的单步运算时延压缩至 2.12 毫秒。 IT之家援引博文介绍，该项目由该校杨玉超教授带领，联合中国科学院上海微系统与信息技术…
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Attractor States Emerge in Multi-Turn LLM Conversations
LLM多轮对话中涌现出吸引子状态，揭示模型间长期交互的稳定模式新特性。
arXiv:2606.30571v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in open-ended multi-agent settings, but the long-ru…
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On the Effect of Uncertainty on Layer-wise Inference Dynamics
研究揭示不确定性在神经网络逐层推理中的传播效应，为模型可解释性提供新视角。
arXiv:2507.06722v2 Announce Type: replace-cross Abstract: Understanding how large language models (LLMs) internally represent and process their predic…
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Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics
不重建模型，让大模型在多时间尺度记忆动力学中持续更新知识，打造可持续AI新范式。
arXiv:2605.05097v3 Announce Type: replace-cross Abstract: LLMs are trained once, then deployed into a world that never stops changing. External memory…
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Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics
揭秘扩散LLM中查询位置导致的关键偏见，并提出基于解码动态的消除方法。
arXiv:2606.19349v1 Announce Type: cross Abstract: While In-Context Learning (ICL) is extensively studied in Autoregressive (AR) LLMs, its mechanism wi…