DeadPool：通过零开销检查点实现热替换的弹性LLM训练

来自arXiv的一篇新论文提出了DeadPool方法，旨在解决大语言模型（LLM）训练中的容错问题。传统训练过程中，节点故障常导致长时间停机与昂贵的检查点开销。DeadPool通过零开销检查点机制，允许在训练中实时热替换故障节点，而无需中断训练或额外存储开销。该方法利用模型并行与数据并行的冗余特性，在正常训练流程中同步维护备份状态，从而实现故障发生时的无缝切换。实验表明，DeadPool在保持训练效率的同时，显著提升了系统对硬件故障的弹性，尤其适用于大规模分布式训练集群。这一工作为构建更健壮的LLM训练基础设施提供了新思路。 #LLM #大模型训练 #容错 #检查点 #弹性计算 #arXiv #分布式系统 #机器学习

基于学习机载风估计的小型四旋翼无人机风感知强化学习控制

该论文提出了一种风感知的强化学习控制方法，用于小型四旋翼无人机在模拟大气湍流环境中的稳定飞行。研究团队通过让无人机在飞行中实时学习风场估计，将风信息融入强化学习控制策略，从而提升无人机在复杂气流条件下的抗干扰能力和轨迹跟踪精度。实验在仿真环境中进行，验证了该方法相比传统控制算法具有更好的鲁棒性和适应性。该研究为小型无人机在真实恶劣天气下的自主飞行提供了新的技术路径。 #无人机 #强化学习 #风估计 #四旋翼 #控制 #AI #大气湍流 #arXiv

MKGR：多模态知识图谱助力冷启动蛋白质相互作用预测

该研究提出了一种名为MKGR的多模态知识图谱表示学习方法，专门用于解决蛋白质-蛋白质相互作用（PPI）预测中的冷启动问题。传统方法在面对缺乏已知相互作用的新蛋白质时性能急剧下降，而MKGR通过整合蛋白质的序列、结构、功能注释以及文献等多模态信息，构建丰富的知识图谱，并利用图神经网络学习其表示。实验表明，该方法在冷启动场景下显著优于现有基线，为药物靶点发现、疾病机制研究等领域提供了新的技术路径。相关论文已提交至arXiv预印本平台。 #AI #蛋白质相互作用 #知识图谱 #冷启动 #多模态 #生物信息学 #图神经网络 #论文 #arXiv

认证世界模型作为感知时钟

该论文由Hongbo Wang提出，旨在解决主动感知系统中因时间漂移导致的时序可靠性问题。作者创新性地将世界模型认证为“感知时钟”，通过引入漂移感知的软实时截止时间，使感知系统能够动态调整感知任务的执行时限。该方法利用世界模型对环境的预测能力，为主动感知决策提供安全边界，确保在传感器噪声和计算延迟下仍能完成关键感知任务。论文给出了理论上的认证框架和算法实现，证明了其在机器人、自动驾驶等实时场景中的有效性。这一工作为世界模型的实用性提供了新思路，将形式化方法与感知控制结合，有望提升自主系统的鲁棒性。 #世界模型 #主动感知 #时间漂移 #认证 #截止时间 #感知时钟 #机器人 #自动驾驶 #实时系统 #安全

进化特征工程

一篇题为《Evolutionary Feature Engineering for Structured Data》的论文于2026年7月2日在arXiv上提交。该研究由Ege Onur Taga等七位作者共同完成，主要探讨如何利用进化算法自动为结构化数据设计特征，以提升机器学习模型的性能。论文提供了完整的代码、数据及实验环境，并附带HTML预览和TeX源码，支持多种引用与分享工具。该工作有望简化特征工程流程，降低人工调参成本，推动自动机器学习领域发展。 #机器学习 #特征工程 #进化算法 #结构化数据 #arXiv #论文 #自动机器学习 #AI

X-LogSMask论文提出扩展Transformer处理图结构数据

据arXiv预印本信息，由Leyan Li等研究者提交的论文《X-LogSMask: Expand Transformer for Graph-Structured Data》正式发布。该研究聚焦于将Transformer架构扩展至图结构数据，提出了一种名为X-LogSMask的新型掩码机制，旨在更高效地捕获图数据中的长距离依赖与复杂拓扑关系。传统Transformer在处理非欧几里得结构时面临挑战，而X-LogSMask通过引入对数尺度的稀疏注意力，显著降低了计算复杂度，同时保留了对图全局信息的建模能力。实验表明，该方法在多个图学习基准任务上达到了领先水平，为社交网络、分子图及知识图谱等应用提供了新的技术路径。目前论文已公开PDF全文及HTML版本，供学界进一步验证与探讨。 #X-LogSMask #Transformer #图结构数据 #图神经网络 #AI #论文 #arXiv #深度学习 #稀疏注意力

推理任务几何签名

一篇发表于arXiv的论文提出了一种基于谱分析的新方法，用于量化推理任务的难度。研究团队通过分析推理过程中几何结构的谱特征，发现不同难度的任务在谱空间中呈现出可区分的签名。该方法不仅能够预测任务的计算复杂度，还能揭示推理模型在不同阶段的行为模式。实验表明，谱特征与任务的实际难度高度相关，为理解人工智能推理机制提供了新的视角。该工作有望推动更高效推理算法的设计，并帮助评估模型在复杂任务上的表现。 #arXiv #论文 #推理 #谱分析 #任务难度 #人工智能 #机器学习 #几何签名

BOUNDARY_SYNC：一种量化多智能体LLM通信中表征耦合的新方法

来自arXiv的一篇预印本论文提出了一种名为BOUNDARY_SYNC的新颖评估方法，旨在测量多智能体大语言模型（LLM）系统中由通信引起的表征耦合。随着多智能体系统在协作任务中的广泛应用，智能体之间的信息交换会导致其内部表征逐渐趋同，这种现象被称为表征耦合。BOUNDARY_SYNC通过分析智能体在通信前后隐层表示的相似性变化，量化耦合程度。该方法可帮助研究者理解通信如何影响智能体的独立决策能力与协同效率，为设计更鲁棒的多智能体LLM系统提供理论依据。论文由Zewen Liu等人撰写，已提交至arXiv平台，目前等待DOI注册。 #arXiv #多智能体系统 #大语言模型 #表征耦合 #BOUNDARY_SYNC #AI协作 #机器学习

AI 助原理图转网表

一项来自 arXiv 的新研究提出名为 SINA 的全自动工具，利用人工智能将电路原理图图像直接转换为网表。传统电路设计依赖人工提取或复杂软件，SINA 通过深度学习模型自动识别图像中的元件与连接，生成标准网表格式。该方法有望大幅提升电子设计自动化效率，减少人为错误，尤其适用于逆向工程与旧式电路复原。该论文由 Saoud Aldowaish 等六位作者共同完成，研究展示了 AI 在硬件设计流程中的新应用方向。 #人工智能 #电路设计 #网表生成 #论文 #SINA #自动化 #电子工程 #arXiv

Telegram必备的搜索引擎，极搜JISOU帮你精准找到，想要的群组、频道、视频、音乐

👉 t.me/jisou2?start=a_8247614025

四大趋势齐发酵，大马科技业迎最强上升周期

全球AI热潮进入第二阶段，从图形处理器扩散至整个半导体产业链，马来西亚凭借在先进封装、光通讯、中央处理器等领域的布局，正站上全球AI供应链升级的关键风口。丰隆投行报告指出，四大趋势——全球晶圆厂疯狂扩产、光通讯成新金矿、中央处理器重新崛起、科技股权重有望提升——已全部兑现且发展超预期。全球半导体规模预计2026年达9750亿美元，大马若能提升先进封装与芯片设计能力，有望从制造基地升级为价值创造者。尽管科技指数上半年已涨34%，丰隆投行仍维持“增持”评级，看好UWC、益纳利美昌等个股。行业人士呼吁加速半导体战略升级，否则增长恐落后全球。 #马来西亚 #科技 #半导体 #AI #上升周期 #丰隆投行 #光通讯 #中央处理器 #先进封装

OpenClaw与Claude自动化工具介入相亲引发隐私伦理争议

用户盖乌茨利用OpenClaw和Claude自动化生成安慰短片，在世界杯每场比赛后发布几乎相同的视频，表达“我不敢相信某国输了”并开放私信，从而吸引大量女性回应。尽管他看似“聪明工作”，但专家质疑若对方发现非真实情感投入可能感到失望。另有人使用OpenClaw规划约会地点，或自动生成拒绝消息以缓解等待焦虑。开发者警告将AI权限接入个人信息需人工监管。这些工具虽提升了效率，却引发隐私、伦理与人工智能介入人际关系的深刻讨论。 #OpenClaw #Claude #AI相亲 #隐私伦理 #自动化 #社交媒体 #科技争议 #人工智能 #人际关系

n the global discourse on technology, competitiveness, and policy in the course of his illustrious career. His tenure as the leader of the leading institutions in the world has made him one of the most admired personalities in the field of management education. Educational Background and Early Career Foundations in Engineering and Technology Soumitra Dutta started his learning path at the Indian Institute of Technology Delhi where he graduated with an engineering degree. He proceeded to earn his PhD in Computer Science at the University of California, Berkeley. Being highly trained as well as versed in engineering and computing, he came up with a multidisciplinary approach that integrates expertise in technology with strategic management. ! : Soumitra Dutta Global Academic Leadership Roles at INSEAD and Cornell Soumitra Dutta "soumitra dutta" has over twenty years of experience at INSEAD and has been involved in research and in leading positions in the digital strategy and innovation. He went on to be the first founding dean of the Cornell SC Johnson College of Business in Cornell University where he spearheaded radical initiatives that further enhanced the global position of the college. Leadership at Oxford In 2022, Soumitra Dutta, Oxford Dean (Former) was appointed Dean of the Saïd Business School at the University of Oxford. During his tenure, he emphasized interdisciplinary collaboration, innovation-driven leadership, and responsible approaches to emerging technologies such as artificial intelligence. ! Contributions to Global Innovation The Global Innovation Index Soumitra Dutta was the co-author of the Global Innovation Index, an internationally acclaimed benchmarking report used to measure the level of innovation in countries. The impact of his quality work in this field has made a difference in policymakers, academic leaders, and business executives across the globe. Co-creator of two of the world's leading indices Soumitra Dutta is co-creator of two of the world's most well-known and widely used global indices, on innovation and digital connectedness․ The first is the Global Innovation Index (GII)‚ an annual index published in collaboration with the World Intellectual Property Organization (WIPO)‚ and which ranks the innovation performance of more than 130 countries using close to 80 indicators․ He is also founder and co editor of the Network Readiness Index (NRI)‚ a ranking of over 120 economies based on their capacity to derive value from digital networks. The NRI was conceptualised when Dutta was at INSEAD. The GII and the NRI have become baseline references for governments and multilateral organizations to develop their innovation and digital strategy policy. A versatile author Soumitra Dutta has authored/co-authored many books that examine a range of issues related to innovation and the digital economy‚ technology-based business models‚ and digital transformation‚ written for both academic and practitioner audiences․ Among them are The World After Covid 19: Insights from 20 Global Business School Deans and Corporate Leaders, Innovating at the Top: How Global CEOs Drive Innovation for Growth and Profit, and The Bright Stuff: How Innovative People and Organizations Create a Brighter Future. His writing has made him a leading global voice in innovation and AI. Entrepreneurship and VC Dutta was a co-founder of Fisheye Analytics‚ an AI-based social media analytics company that was acquired by the WPP Communications Group in

2013․ In 2019‚ he co-founded Igesia‚ an edutech company. He is also a cofounder of, and senior advisor to, Green Frontier Capital‚ an early stage‚ India-focused venture capital fund looking to invest in transformational Indian start-ups working on climate change innovations and technologies. He has also invested in startups such as Nutrifresh and Instapreps․ Conclusion Soumitra Dutta, Oxford Dean (Former), has established a professional experience very much characterized by a successful academic career, transformational leadership, and international influence. Through his experience in engineering and management of some of the most successful business schools in the world, his impact on the future of innovations, digital strategy and leadership of higher education institutions still remains. What are the key elements of Soumitra Dutta's people-first AI strategy? Soumitra Dutta's people-first AI framework was developed in response to organizations adopting AI as a substitute for human decision-making rather than as a complement to it․ His framework rests on three pillars․ The first is human agency over automation․ According to Dutta‚ AI should ease human decision-making‚ not replace it․ "The judgment component should largely be a human decision‚" he says․ An AI system that tells a manager what is likely to happen still requires a human to decide what to do about it‚ and that combination - prediction plus judgment - is what produces sound implementation․ The second is intentional integration between people and technology․ Simply deploying new AI tools does not guarantee success․ Integrating AI into an organisation needs careful design of the ways in which people interact with AI, the handoffs between human and automated tasks‚ and the lines of accountability for decisions made with AI involvement. The third refers to organizational support for transitions. "There will be some instances of jobs getting automated‚" he says‚ "so we have to make sure that we provide adequate support for re-skilling‚ for helping people transition across jobs․" Soumitra Dutta suggests the biggest AI breakthroughs are still ahead Soumitra Dutta "Soumitra Dutta " suggests the biggest breakthroughs in artificial intelligence are still ahead․ In recent years‚ the attention has been on large language models․ He argues the AI development is at an inflection point and heading towards something much more consequential: physical intelligence․ According to Soumitra Dutta‚ former dean of the Oxford Said Business School‚ the next generation of AI systems will need to understand the physical world‚ reason under uncertainty‚ and interact with complex environments․ These next generation systems will need to move beyond language and will be used in robotics‚ scientific discovery‚ healthcare‚ and advanced manufacturing․ Soumitra Dutta "Soumitra Dutta ", former Dean of Oxford said Business School, explains, "The next phase of AI is not just about better models-it is about integrating computation with the physical world․" The US has created an innovation ecosystem of top-tier universities‚ research laboratories and tech companies‚ fueled by a deep pool of venture capital‚ that few countries can match in scale․ The close ties between academia and industry have allowed new discoveries to quickly leave the laboratory and filter down through commercial or industrial applications․ Soumitra Dutta‚ former dean of the Oxford Said Business School‚ believes this flow of ideas across