在后续与中国团队合作开展的试验中，5名中风患者和10名健康受试者默念短语后，通过两次点头即可 触发设备将短语扩展为完整句子。例如，"我们去医院"可被扩展为"虽然时间有点晚了，但我不太舒 服，我们现在能去医院吗？"设备能根据心率升高及深夜时间等情境，自动补充语气与内容。 设备采集的信号由两个AI模块处理：一个负责从无声口型中识别词语；另一个则结合情绪状态与上下 文信息（如时间、天气等），将简短的词语扩展为完整且符合语境的表达。 在一项针对5名构音障碍患者（中风后常见言语障碍）的小型试验中，该设备在词语识别上的错误率为 4.2%，句子重建错误率仅为2.9%。与现有辅助语音技术（如逐字输入、眼动追踪或脑部植入）相比， Revoice能够实时、连贯地进行语句转换，大幅提升交流效率。 该设备不仅适用于中风康复，未来也可能用于支持帕金森病、运动神经元疾病等患者的交流需求。 科学家开发出一款能解码"无声之言"的项圈，名为"Revoice"。这款设备结合了高灵敏度传感器与人工 智能（AI）技术，佩戴舒适且可水洗，能够帮助中风患者恢复自然流畅的交流能力，而无需进行侵入 性脑部植入手术。相关研究成果发表于最新《自然·通讯》期刊。 ...

日前，北京智谱华章科技股份有限公司通过其官方公众号发布GLM Coding Plan限售公告。公告指出， 随着GLM-4.7系列模型上线，用户数量迅速增长，导致算力资源出现阶段性紧张。 这是AI产业算力吃紧的一个缩影。随着GPT、DeepSeek等大模型的算法突破和应用普及，算力需求水涨 船高。数据显示，我国AI芯片市场规模预计2028年将超一万亿元，约占全球市场的30%。面对庞大的市 场需求，自主可控的高质量AI算力供给已成为我国抢占人工智能产业应用制高点、全方位赋能千行百 业的前提条件。 算力缺口从何而来？国产AI算力又当如何破局？记者就此采访了有关专家。 同时，我国算力资源分散，存在"碎片化"问题。各服务商算力资源接口和协议不统一，跨区域跨主体算 力调度能力较弱，导致算力资源利用率偏低。此外，产业发展制度环境仍待完善，数据确权、使用和交 易等方面的规则有待细化，企业标准与合规方面的挑战日益凸显。 与此同时，人工智能正在加速落地千行百业，带来算力需求激增。目前，全国已落地的算力应用项目超 过1.3万个，建成的各级智能工厂超过3万家，并覆盖工业、金融、交通、医疗、教育等重点行业。"随 着我国人工智能应用加速 ...

Group 1 - The 2026 Leiden World University Ranking highlights Zhejiang University at the top, with Harvard University dropping to third place, and eight Chinese universities in the top ten, indicating China's strong position in global academic research [1] - The ranking is based on bibliometric data, specifically paper output and citation counts, which are considered authoritative measures of academic impact [1] - The rise of Chinese universities reflects a significant achievement, but it is essential to recognize that paper output and citation counts are just one dimension of evaluating research strength [1] Group 2 - The historical shifts in the center of scientific innovation, from Italy in the 17th century to the United States in the 20th century, illustrate that multiple innovative factors contribute to maintaining research advantages [1] - The release of the ranking serves as both encouragement and a reminder that the ultimate strength of a technological power lies in talent reserves, an open innovation ecosystem, and a continuous scientific spirit [1] - The discussion around AI and the need for innovative thinkers emphasizes the importance of designing talent selection systems that support diverse intellectual growth and the efficient transformation of research outcomes into practical applications [2]

Core Insights - The research team from Peking University has developed a new analog computing chip for non-negative matrix factorization, significantly improving processing speed and energy efficiency compared to current digital chips [1][2] Group 1: Technology Overview - Non-negative matrix factorization (NMF) is a powerful data dimensionality reduction technique used in various fields such as recommendation systems, bioinformatics, and image processing [1] - Traditional digital hardware struggles with real-time processing demands due to computational complexity and memory bottlenecks when handling large-scale datasets [1] Group 2: Chip Performance - The new chip, based on resistive random-access memory (RRAM), achieves approximately 12 times faster computation speed and over 228 times better energy efficiency compared to advanced digital chips [1][2] - In image compression tasks, the chip maintains image quality while reducing storage space by half, and in recommendation system applications, it shows prediction error rates comparable to digital chip results [2] - In the MovieLens 100k dataset training task, the analog calculator achieved a speed improvement of 212 times and an energy efficiency improvement of 46,000 times compared to mainstream programmable digital hardware [2] Group 3: Implications for Industry - This research opens new pathways for real-time solutions to constrained optimization problems like non-negative matrix factorization, showcasing the potential of analog computing in handling complex real-world data [2] - The advancements could lead to innovations in real-time recommendation systems, high-definition image processing, and genetic data analysis, contributing to more efficient and lower-power artificial intelligence applications [2]

"目前，算力供需矛盾依然突出，在全球范围内都是如此，但国内算力缺口尤为明显。"燧原科技创始 人、董事长兼CEO赵立东1月22日对科技日报记者直言。 智能算力是支撑人工智能等计算任务需求的计算能力，是人工智能产业的"水和电"。 来源：科技日报 科技日报记者 崔爽 日前，北京智谱华章科技股份有限公司通过其官方公众号发布GLM Coding Plan限售公告。公告指出， 随着GLM-4.7系列模型上线，用户数量迅速增长，导致算力资源出现阶段性紧张。 这是AI产业算力吃紧的一个缩影。随着GPT、DeepSeek等大模型的算法突破和应用普及，算力需求水涨 船高。数据显示，我国AI芯片市场规模预计2028年将超一万亿元，约占全球市场的30%。面对庞大的市 场需求，自主可控的高质量AI算力供给已成为我国抢占人工智能产业应用制高点、全方位赋能千行百 业的前提条件。 算力缺口从何而来？国产AI算力又当如何破局？记者就此采访了有关专家。 第一问：当前是否存在行业性算力缺口？ 与此同时，人工智能正在加速落地千行百业，带来算力需求激增。目前，全国已落地的算力应用项目超 过1.3万个，建成的各级智能工厂超过3万家，并覆盖工业、金融、交 ...

Core Insights - A new type of motor developed by scientists from the University of New South Wales and the University of Sydney utilizes flowing liquid metal instead of traditional rigid components, potentially transforming applications in soft robotics, flexible electronics, and medical devices [1][2]. Group 1: Innovation and Technology - The liquid metal droplet rotating paddle motor operates uniquely without coils or magnets, generating internal vortices in a saline solution when an electric field is applied, achieving a maximum speed of 320 revolutions per minute, setting a new record for liquid metal actuators [1]. - This innovation demonstrates that flowing metal can produce stable rotational motion, paving the way for the development of a new generation of flexible motors [1]. Group 2: Applications and Market Potential - The flexible liquid metal motor is particularly suited for scenarios where traditional rigid motors struggle, such as in soft robotics, where devices need to bend, stretch, or navigate confined spaces [2]. - The potential applications extend beyond soft robotics to include flexible displays, microfluidic chips, and biomedical implants, enabling compact and self-sustaining motion control in closed, precise, and dynamically changing environments [2].

Core Insights - A research team from the University of Vienna has achieved a significant breakthrough by placing metal nanoclusters, nearly the size of viruses, into a spatially distinct quantum superposition state, marking the largest superposition state ever created [1] Group 1: Quantum Research Findings - The study provides new evidence for exploring the boundary between the quantum and classical worlds, with implications for quantum computing and precision measurement technologies [1] - The researchers created a metal cluster composed of over 7,000 sodium atoms, approximately 8 nanometers in diameter, which is comparable in size to some viral particles [1] - The experiment involved precision interference experiments that allowed these clusters to exist simultaneously in different spatial locations, approximately 133 nanometers apart, forming a quantum superposition state similar to Schrödinger's cat [1] Group 2: Experimental Methodology - The experiment utilized an interferometer device composed of three sets of laser gratings, operating under ultra-high vacuum and low-temperature conditions [2] - Sodium nanoparticles exhibited significant wave-like behavior after passing through slits, with different paths corresponding to "matter waves" that interfered to form a clear interference pattern [2] - The results indicated that each nanoparticle did not follow a single path but rather existed as a "probability cloud" in space, with the separation distance of the superposition state being about 16 times the size of the particles themselves [2] Group 3: Macro-Scale Quantum Effects - The experiment achieved a "macroscopicity" measure of 15.5, which is an order of magnitude higher than previous records, indicating the extent of quantum effects at a macroscopic scale [2] - Future plans include expanding the experimental subjects to larger biological systems, such as viruses, and using interference patterns as high-sensitivity probes to explore weak and difficult-to-measure physical forces [2]

据介绍，"人工心脏"即左心辅助装置，是一种尖端生命支持系统。整个装置系统分为体内和体外两部 分，体内的血泵和管道与心脏精密连接，体外的控制器和电池组让患者能够自由活动。此次接受"人工 心脏"植入的患者患有扩张型心肌病，其左室射血分数（LVEF）仅为15%，远低于55%的正常标准。该 疾病是一种遗传性疾病，目前尚无根治方案，随着病情进展，患者心脏功能逐年衰退。 合肥京东方医院心脏中心团队经过全面评估与审慎研讨，迅速组建由心脏外科、心血管内科、麻醉科、 体外循环科、重症监护室、超声科等多领域专家构成的诊疗团队。术中，团队默契配合、精准操作，成 功将"人工心脏"植入患者体内。装置启动后运行平稳，即刻承担起左心室泵血功能，患者全身血液循环 得到显著改善。 姚建民介绍，"人工心脏"是救治终末期心衰的关键手段，与心脏移植相比，术后不用终身服用抗排异 药。此外，该技术也为稀有血型、体重较大或65岁以上等难以接受心脏移植的患者，提供了新的治疗希 望。 近日，又一例"人工心脏"植入手术在合肥京东方医院成功开展。合肥京东方医院心胸外科主任姚建民表 示，植入的"人工心脏"仅90克，是由新型材料制成的一个很轻很小的机械装置。它协助心 ...

团队开发了与目前光刻工艺有效兼容的制备路线。他们首先采用等离子体刻蚀技术，将弹性高分子表面"打磨"至低于1纳米的粗糙度，有效满足商业光 刻要求。随后，在弹性高分子表面沉积一层致密的聚对二甲苯膜层，为电路披上一层"柔性铠甲"。这层保护膜不仅可以有效抵御光刻中所用极性溶剂对弹性 基底的侵蚀，还能缓冲电路层受到的应变，确保纤维芯片在反复弯折、拉伸变形后，电路层结构和性能依然稳定。 该成果有望为纤维电子系统的集成提供新的路径，有望实现从"嵌入"到"织入"的转变，助力脑机接口、电子织物、虚拟现实等新兴领域的变革发展。 该设计使纤维内部的空间得到极致利用，实现了一维受限尺寸内的高密度集成。 智能设备的柔性化始终卡在一个关键瓶颈：作为"大脑"的芯片，长久以来都是硬质的。复旦大学彭慧胜/陈培宁团队成功在弹性高分子纤维内部，构建 出大规模集成电路，研发出全新的"纤维芯片"，为解决柔性化难题提供了新的有效路径。这项成果于1月22日发表在国际期刊《自然》上。 ...

Core Insights - The market share of domestic surgical robots in China has increased from 32.61% in 2023 to 48.89% in 2024, indicating significant growth in the sector [1] - Despite advancements, the utilization rate of surgical robots in China remains low at 6.33%, compared to 42% in the United States, highlighting the need for further development [1] - The National Healthcare Security Administration (NHSA) has released a guideline to rationalize the pricing logic for surgical robots, aiming to promote innovative technologies in healthcare [1] Pricing Logic Changes - Previously, surgical robot charges were based on factors like surgical approach and brand, leading to unclear pricing and increased patient burden [2] - The new guideline introduces three pricing categories: navigation, participation in execution, and precise execution, which will clarify the value of surgical robots in clinical settings [2][3] - This "pay-for-performance" model allows for higher fees for robots that demonstrate greater clinical value and effectiveness, discouraging low-value products from benefiting financially [3] Expansion of Precision Surgery - The guideline aims to broaden the application of precision surgery by encouraging the use of surgical robots for remote operations, thus expanding their clinical use [4] - A new pricing category for remote surgical assistance has been established, allowing experts in resource-rich areas to assist patients in remote locations [4][5] - The introduction of remote surgical capabilities is expected to enhance access to advanced medical technologies for patients in underserved areas [5] Future Developments - The NHSA plans to complete the guideline compilation to achieve a unified pricing system for medical services across the country, ensuring high-quality and affordable healthcare for the public [5]