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中管高校纪检监察机构持续强化正风肃纪营造风清气正教书育人环境
Zhong Yang Ji Wei Guo Jia Jian Wei Wang Zhan· 2026-02-09 23:59
中央纪委国家监委网站 陆丽环 高校承担着培养社会主义建设者和接班人的重大使命,事关党和国家前途命运。各中管高校纪检监察机 构坚决贯彻落实中央纪委全会精神,坚持党性党风党纪一起抓,以严实举措强化正风肃纪,推动严的氛 围在中管高校不断形成和持续巩固。 深入贯彻中央八项规定精神,重拳纠治"象牙塔"内不正之风 2025年以来,清华大学纪委、监察专员办结合查办案件拍摄警示教育片《迷失的初心》《守住第一道防 线》,深入院系单位播放,覆盖"关键少数"、重点岗位3400余人,推动引导学校党员干部教师懂法纪、 明规矩、知敬畏、守底线。 落实联合审查调查机制,系统整治高校领域突出问题 高校是培养社会主义建设者和接班人的重要阵地,绝容不得腐败。中央纪委国家监委印发《关于加强中 管高校纪检监察机构与地方纪委监委联合审查调查工作的指导意见》。各中管高校纪检监察机构深入落 实意见要求,持续紧盯高校重点领域深化系统治理,坚决查处高校权力集中、资金密集、资源富集的重 点领域违纪违法问题,推动校园政治生态不断净化。 上海交通大学纪委、监察专员办在上海市纪委监委统一调度指挥下,建立联合审查调查组,通过健全地 校纪委书记碰头会、组长阶段沟通会、组 ...
范波会见清华大学党委书记邱勇一行
Su Zhou Ri Bao· 2026-02-08 00:39
Group 1 - The meeting between Suzhou's Party Secretary Fan Bo and Tsinghua University's Party Secretary Qiu Yong emphasized the importance of collaboration for high-tech innovation and quality development in Suzhou [1][2] - Suzhou aims to integrate education, technology, and talent development, creating a conducive environment for various talents to thrive [1] - Tsinghua University has a strong tradition of nurturing outstanding talents and has established a solid foundation for cooperation with Suzhou in areas such as innovation and talent cultivation [2] Group 2 - Both parties expressed a commitment to deepen practical cooperation in key areas such as core technology breakthroughs, talent training, and major platform construction [2] - The collaboration aims to provide strong support for achieving high-level technological self-reliance and innovation [2]
中国软件技术发展洞察和趋势预测研究报告2026
极客邦科技· 2026-02-05 07:26
Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The artificial intelligence (AI) sector continues to dominate investment, accounting for 88.1% of total financing in the technology field in 2025, an increase of 5.3 percentage points from 2024 [21] - The humanoid robot sector has emerged as a significant area of investment, capturing 16.8% of the total technology financing [28] - The report highlights the rapid evolution of AI technologies, particularly in reasoning models and multimodal models, which are reshaping the landscape of AI applications [36][38] Summary by Sections 2025 Technology Market Review - In 2025, the technology sector saw a total financing of 738.4 billion yuan across 644 events, with AI leading the way [21] - Key developments included the rise of humanoid robots and advancements in AI models, such as the release of various reasoning models by major companies [19][36] 2026 Technology Trend Outlook - The report anticipates continued growth in AI and humanoid robotics, with significant investments expected in these areas [28] - The integration of AI into various applications is expected to accelerate, driven by advancements in multimodal models and reasoning capabilities [36][38] Financing Events and Trends - The AI sector experienced 212 financing events exceeding 100 million yuan, representing 88.7% of all such events in the technology field [29] - The report notes a shift towards more substantial financing rounds, with seed and A rounds making up 67.7% of total financing events [31] Key Companies and Innovations - Notable companies in the AI sector include Zhiyuan AI, Minimax, and Yuzhi Technology, which have raised significant funds in recent rounds [32] - The report highlights the emergence of new technologies and models, such as DeepSeek and various multimodal models, which are expected to drive future growth [36][38]
清华发布两款海洋仿生机器人,一个能两栖,一个能钻洞!
Xin Lang Cai Jing· 2026-02-05 06:55
曲钧天介绍,两款机器人均体现了"仿生智能"的前沿理念。另一款磁吸式柔性机器人模仿的是海洋深处 常见的蠕虫,适用环境是复杂的管道。"管道是能源运输与城市运维的核心基础设施,其隐蔽性、复杂 性给检测维护带来了挑战。传统刚性管道机器人结构复杂、控制难度大,在小管径、破损管道或动态水 流等复杂工况下适应性受限;现有软体机器人虽具备灵活性优势,但普遍存在流阻大、负载能力弱、难 以应对真实管道故障等问题。" 磁吸式柔性蠕虫机器人 团队创新性地采用星形三向锚定足与纤维增强波纹管主干设计,让机器人兼具柔性与高负载能力。"它 的重量仅120克,却能在垂直管道中推动750克、拉动309.5克的物体,还能适应0度至90度的管道倾 角。"他说,搭载摄像头后,机器人可在复杂管道内部完成巡检任务。 目前,团队正在对两款机器人开展持续的技术优化,推动它们在海洋环境探测、基础设施巡检等领域应 用。 拥有四只仿生鳍肢的海龟机器人,能在水陆交界的复杂区域自如漫步;外表像蠕虫的磁吸式柔性机器 人,可以推动重量是自己体重6倍的物体,在复杂管道内自由穿梭。清华大学海洋软体机器人与智能传 感实验室近日发布了两款海洋仿生机器人,为海陆两栖跨介质探测与水下 ...
1.98亿元!清华大学2026年仪器采购意向
仪器信息网· 2026-02-04 09:02
摘要 :近日,清华大学发布多批政府采购意向,仪器信息网特对其中的仪器设备品目进行梳理,统计出 28项仪器设备采购意向,预算总额达1.98亿元。 特别提示 微信机制调整,点击顶部"仪器信息网" → 右上方"…" → 设为 ★ 星标,否则很可能无法看到我 们的推送。 近日,清华大学发2 5项仪器设备采购意向,预算总额达1 . 9 8亿元,涉及高带宽实时示波器、等 温滴定微量热仪、多组分红外分析仪表、扫描探针显微镜控制器系统、芯片及微系统电子负载 测试仪等,预计采购时间为2 0 2 6年1~3月。 详细采购清单: | | | | 1月 | | --- | --- | --- | --- | | 光刻胶 | 光刻胶。 | 200 | 2026年 | | | | | 1月 | | 晶圆衬底 | 晶圆衬底。 | 200 | 2026年 | | | | | 1月 | | 微系统集成综合FPGA 微系统集成综合FPGA开 | | 250 | 2026年 | | 开发验证系统 | 发验证系统。 | | 1月 | | 微系统设计硬件加速器 微系统设计硬件加速器。 | | | Comments of the United on t ...
开创电气:燕谷机器人公司跟清华大学合作正常进展中
Ge Long Hui· 2026-02-04 01:24
格隆汇2月4日丨开创电气(301448.SZ)近日接受特定对象调研时表示,燕谷机器人公司跟清华大学合作 正常进展中,第一笔研发经费 1500 万元按照合作协议已支付清华大学。2026 年1 月初已召开联合研究 中心管委会第一次会议,通过了联合机构章程和管委会相关机制,同时决定批准了14 个项目立项,涵 盖具身智能感知、决策、控制、硬件设计及大模型基础研究等多个关键领域。 ...
柔性边缘智能AI芯片突破“存储墙”性能限制
Ke Ji Ri Bao· 2026-02-04 00:57
据了解,机器学习与人工智能应用通常依赖高算力、高能耗的计算平台,而可穿戴传感器、脑植入器等 极端边缘设备需基于柔性基底、低成本元件完成本地基础计算。此前柔性中央处理器虽能实现通用计 算,但存在速度慢、功耗高的瓶颈,无法满足数据分类、机器学习等AI任务需求。 科技日报讯 (记者华凌)记者2月2日从清华大学获悉,该校集成电路学院教授任天令团队及合作者的 研究成果"FLEXI柔性数字存算芯片",在柔性电子与边缘人工智能硬件领域取得突破,填补了当今高性 能柔性AI计算芯片技术空白。相关研究成果发表在国际期刊《自然》上。 任天令介绍,新研发的柔性AI芯片可直接在柔性基底上制造,兼具低功耗、低成本和高集成度优势。 研究团队通过工艺革新增加金属层数,突破了传统柔性电子难以支持复杂芯片互联的瓶颈;创新采用数 字"存内计算"架构,在存储器内部完成数据处理,既消除了数据搬运的时间与能耗开销,又突破了"存 储墙"性能限制,在能效与可靠性等关键指标上的表现优于传统模拟存内计算方案。 实测数据显示,该芯片在折叠、卷曲状态下可稳定工作,经4万次反复折叠后计算能力仍保持稳定,并 具备良好的耐温、耐湿和抗光照老化能力。该芯片能够集成至可穿戴 ...
清华大学团队研发柔性AI芯片,可弯折4万次、填补领域空白
Xin Jing Bao· 2026-02-03 08:09
Core Insights - Tsinghua University has developed a fully flexible artificial intelligence chip, filling a gap in flexible electronics technology and providing dedicated, scalable, and low-power hardware support for AI applications [1][2] Group 1: Technology and Innovation - The flexible electronic devices are transforming applications in wearable medical technology, implantable neural recording, human-computer interaction, and the Internet of Things due to their ultra-thin, lightweight, customizable, and low-cost advantages [1] - The FLEXI chip, designed for edge intelligence acceleration, utilizes low-temperature polycrystalline silicon CMOS technology, combining lightweight, low-cost, and high energy efficiency [1] - FLEXI can integrate up to approximately 265,000 transistors and achieves stable, high-speed, and parallel dot product operations through a cross-layer collaborative optimization strategy [1] Group 2: Performance and Reliability - Experimental results indicate that the FLEXI chip can withstand over 40,000 bending cycles at a 1mm radius and 180° fold without significant performance degradation [2] - The chip demonstrates high reliability, excellent energy efficiency, high yield, and good scalability while maintaining stable, error-free operation under high-frequency computing, extreme mechanical stress, and accelerated aging conditions [2] - FLEXI exhibits over six months of long-term stability, laying a solid foundation for the application of flexible electronic devices in mobile healthcare, embedded intelligence, and other edge computing scenarios [2] Group 3: Academic Recognition - The research findings were published in the prestigious journal Nature on January 28, under the title "A Flexible Digital In-Memory Computing Chip for Edge Intelligence" [2]
能承受4万次以上弯折!清华大学获柔性芯片重要突破
Huan Qiu Wang Zi Xun· 2026-02-02 05:16
来源:科技日报微信 来源:科技日报 图片由清华大学集成电路学院提供 记者 华凌 实测数据显示,该芯片在折叠、卷曲状态下可稳定工作,经4万次反复折叠后计算能力仍保持稳定,并 具备良好的耐温、耐湿和抗光照老化能力。其最小尺寸芯片制造成本仅0.016美元,能够集成至可穿戴 设备,利用心率、呼吸频率、体温等生理信号实现人体日常活动识别。 1月28日,清华大学集成电路学院任天令教授团队及合作者的研究成果"FLEXI柔性数字存算芯片"正式 发表于国际顶级期刊《自然》,标志着我国在柔性电子与边缘人工智能硬件领域取得重要突破,填补了 高性能柔性AI计算芯片的技术空白。 专家点评指出,该技术填补了柔性电子领域AI专用计算硬件的空白。未来通过新型半导体材料应用、 功率门控技术优化等,有望进一步提升性能。若能持续优化生产良率与芯片尺寸,将推动可穿戴健康设 备、物联网终端等领域的产业升级与技术革新。 新研发的柔性AI芯片采用CMOS低温多晶硅(LTPS)工艺,可直接在柔性基底上制造,兼具低功耗、 低成本和高集成度优势。研究团队通过工艺革新增加金属层数,突破了传统柔性电子难以支持复杂芯片 互联的瓶颈;创新采用数字"存内计算"架构,在存 ...
青少年“脱颖”创新冬令营开营
Xin Lang Cai Jing· 2026-01-30 22:49
Core Insights - The 2026 Beijing Youth "Outstanding" Innovation Winter Camp has commenced, focusing on cultivating innovative talents in various fields such as artificial intelligence, quantum computing, life sciences, and aerospace [1][2] - The program aims to create a collaborative education model involving high schools, universities, and research institutions, facilitating early identification and continuous development of innovative students [1][2] Group 1: Program Structure - The winter camp consists of 11 thematic camps that will be held during the winter break, guided by experts and academicians [1] - The camps are designed to stimulate interest and potential in students, providing a sustainable and structured approach to talent development [1] Group 2: Educational Approach - Students will engage in project-based learning, enhancing their interdisciplinary innovation capabilities through real-world problem-solving [1] - In the "Extreme Intelligence Challenge" AI camp, students will learn about AI technology principles and applications, including practical development and safety measures [1] Group 3: Specific Themes and Activities - The "Mathematics Talent" camp will focus on the intersection of mathematics and finance, allowing students to experience the entire process from data organization to strategy backtesting [2] - The program includes opportunities for students to participate in investment application projects, applying mathematical knowledge to real-life scenarios [2] Group 4: Institutional Support and Future Plans - The Beijing Municipal Education Commission emphasizes the importance of the winter camp in promoting educational excellence and building connections between different educational levels [2] - There are plans to deepen collaboration with technology companies and explore a dual-teacher model involving scientists and engineers to enhance STEM education [2]