公众号记得加星标⭐️，第一时间看推送不会错过。 麻省理工学院的研究人员提出了一种新的解决方案，旨在解决现代计算中最棘手的效率问题之一：逻 辑电路和存储器之间数据传输所消耗的能量。该团队最近发现，通过在传统CMOS芯片的后端工艺 （BEOL）中添加额外的有源器件层，可以将通常用于布线的区域变成一个可以同时容纳逻辑晶体管 和存储器晶体管的堆叠结构。 研究人员在 IEEE IEDM 上发表了两篇相关论文，分别以BEOL 氧化铟晶体管和BEOL 纳米级铁电存 储器件为中心。 3D堆叠技术并非新技术，但将单片堆叠直接应用于已完成的逻辑电路会受到温度的限制。标准的硅 器件制造工艺通常需要一定的热预算，这可能会损坏先前构建的晶体管和金属层。麻省理工学院团队 的核心策略是避免"预先"构建新的硅器件，而是在芯片后端（传统上导线和金属键合所在的位置）添 加有源层。 这种"翻转"至关重要，因为它将后端工艺（BEOL）转化为额外的器件空间，而无需底层CMOS工艺 承受额外的高温前端工艺。它还缩短了计算、嵌入式存储器和互连之间的物理路径，从而避免了传统 布局中能量的浪费。 麻省理工学院提出的架构是一种垂直集成的器件堆叠结构，它制造在现 ...

根据彭思达个人学术主页，至少与理想合作了3篇论文，分别是： 2026年1月6日发布的InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields 彭思达为通讯作者 今天本来打算发这篇论文的解读文的，但因为时间来不及写高质量解读文就明天再发了。 2024年12月17日第一版，2025年8月26日第三版的StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models 彭思达为通讯作者。 谷歌学术主页链接： https://scholar.google.com/citations?user=l9NCksYAAAAJ&hl=en GitHub上有2.3K关注者，可以看到多篇高引用文章是公布了开源代码，并获得了高星。 | | Pinned | | | --- | --- | --- | | | 2 zju3dv/neuralbody (Public | 2 zju3dv/animatable_nerf ...

帕兰蒂尔（Palantir）公司是美国硅谷一家以软件和大数据技术起家的企业。它的创始人是《从0到1》 这本书的作者彼得·蒂尔。美国现任副总统万斯就是在此人的一手扶植下，从寂寂无名的硅谷企业员工 走上白宫的权力宝座。 帕兰蒂尔公司与美国军方的关系极为密切，它已经成为美国军工复合体中的"新贵"，其风头甚至超越雷 神公司等传统的防务承包商。2025年8月，帕兰蒂尔与美国陆军签署一份总额高达100亿美元的长期合 同，将在未来十年为陆军作战行动提供数据支持与软件服务。这是迄今美国科技企业获得的规模最大的 数字化军事合同。 硅谷的出现与发展，和美国军事安全战略的需求密不可分。第二次世界大战以及之后美国和苏联的冷 战，推动了美国的科技创新，尤其是军事技术的发展。20世纪50年代，仙童公司为中央情报局研发制造 侦察设备，这带动了半导体技术的突破。曾几何时，美国海军使用的所有弹道导弹都在加州圣克拉拉县 （编注：即硅谷所在地）生产。美苏冷战推动了美国在微电子、卫星、核能、生物医药等领域的技术进 步。 1958年，美国国会通过立法，在国防部创设高级研究计划局（DARPA）。该机构在互联网、全球定位 系统、无人机等领域的科技创新中发 ...

1月6日，据第一财经，北京大学90后长聘副教授董豪加入上纬新材的个人机器人业务品牌上纬启元，并 出任上纬启元的首席科学家。上纬启元表示，董豪将聚焦具身智能模型领域的技术研发与战略布局。 公开资料显示，董豪现任北京大学计算机学院前沿计算研究中心的长聘副教授，是科技创新2030国家重 大项目负责人（首席科学家），入选国家级高层次青年人才计划。研究方向聚焦于具身智能、大模型、 强化学习、计算机视觉以及相应的开源系统。核心目标是探索并构建兼具成本效益与通用性的机器人系 统。长期以来，始终深耕开源AI系统领域，牵头负责了多个开源项目。 出任上纬启元的首席科学家相关信息，已在董豪个人学术主页中更新确认。 业内分析认为，董豪教授在具身智能领域的深厚积淀，与上纬启元的技术研发需求高度契合，其加入将 进一步强化企业在核心算法、通用机器人系统等关键领域的竞争力。此次引入首席科学家，也表明上纬 新材正在强化其在消费级人形机器人的顶层科研布局。 今年7月8日，上纬新材公告，智元机器人拟通过其与核心团队共同出资设立的持股平台，以"协议转让 +要约收购"组合方式获取公司控制权。11月25日晚，上纬新材公告，公司第四届董事会第一次会议，全 ...

Core Insights - SenseTime's Kapi camera has topped the Apple App Store's "Photography & Video" category in China as of December 31, showcasing its strong market performance and innovative features [2][7] - The Kapi camera, launched on December 20, is positioned as the first true "AI photography assistant," breaking traditional app limitations and offering advanced features like scene recognition and filter recommendations [2][3][8] - The success of Kapi camera indicates a significant shift in consumer-level AI applications, moving from experimental technology to mainstream usage, thus enhancing confidence in AI commercialization [5][10] Product Performance - Kapi camera achieved the number one spot in the Philippines App Store free app category on December 8 and has maintained a strong presence in the "Photos & Videos" category across multiple countries, including the UK, Italy, France, and Germany [3][8] - The app's technology includes a professional image processing workflow that replicates the Apple Log curve, allowing users to capture images with cinematic quality and rich detail without post-processing [3][8] Technological Advancements - SenseTime's SenseNova V6.5 Pro ranked first in the domestic evaluation by SuperCLUE, scoring 75.35 and achieving the highest score in visual reasoning among domestic models [4][9] - The report highlights that SenseTime's models are approaching the average level of leading models in basic cognitive dimensions, with SenseNova V6.5 exceeding the average in visual reasoning, indicating a competitive edge in the industry [9][10]

Core Viewpoint - The article discusses the recent changes in China's tariff schedule for 2026, particularly the introduction of new tariff categories for robots, including intelligent bionic robots and cleaning robots, aimed at supporting technological development and the circular economy [3][5]. Group 1: Tariff Adjustments - The 2026 tariff schedule includes new categories for intelligent bionic robots with a most-favored-nation (MFN) rate of 0% and a general rate of 30% [3][5]. - Two new categories for cleaning robots have been added, with MFN rates of 8% and 0%, and general rates of 130% and 30% respectively [3][5]. Group 2: Definition and Features of Intelligent Bionic Robots - Intelligent bionic robots are defined as autonomous or semi-autonomous robots that closely mimic the appearance, structure, or functions of humans or animals [4]. - These robots are equipped with various sensors and technologies, enabling them to perform tasks such as environmental perception, autonomous path planning, and human interaction through natural language processing [4]. Group 3: Industry Impact and Future Outlook - The addition of these tariff categories is expected to help industries and companies better understand trade data and assess overseas market trends [5]. - The tariff adjustments also include a temporary import tax rate below the MFN rate for 935 items, aimed at promoting high-level technological self-reliance and modern industrial system construction [5].

Core Insights - The Chinese government has introduced new tariff categories for intelligent bionic robots and cleaning robots as part of the 2026 tariff adjustment plan, with the most favored nation (MFN) rates set at 0% for intelligent bionic robots and varying rates for cleaning robots [1][3] Group 1: New Tariff Categories - The 2026 tariff adjustment plan includes the addition of intelligent bionic robot tariff categories with an MFN rate of 0% and a general rate of 30%, along with two cleaning robot categories with MFN rates of 8% and 0%, and general rates of 130% and 30% respectively [1][3] - Intelligent bionic robots are defined as autonomous or semi-autonomous robots that closely mimic the appearance, structure, or functions of humans or animals, equipped with advanced technologies for environmental perception and interaction [2] Group 2: Rationale for Changes - The adjustments aim to support technological advancement, circular economy, and the development of the forest economy, with the total number of tariff categories now reaching 8,972 [3] - The introduction of these new tariff categories is expected to help industries and companies accurately grasp trade data and assess overseas market trends [3]

编辑丨王多鱼 排版丨水成文 日前，西湖大学宣布， 纽约州立大学石溪分校 帝国创新教授、IEEE Fellow 凌海滨 全职加入西湖大学工学 院，受聘讲席教授，牵头创立 西湖大学 智能计算与应用实验室 ，该实验室致力于开展人工智能以及跨学 科的研究与应用，研究方向包括计算机视觉、多模态人工智能、增强现实、AI for Science、量子信息等方 向。 凌海滨 ， 1974 年生，贵州安顺人，国际电气和电子工程师协会会士 （IEEE Fellow） 。于 1997 年获北 京大学学士学位，2000 年获北京大学硕士学位，2006 年获美国马里兰大学帕克分校博士学位。其职业经 历包括微软亚洲研究院助理研究员 （2000–2001） 、加州大学洛杉矶分校博士后研究员 （2006– 2007） 、西门子研究院科学家 （2007–2008） 。2008 年起任教于天普大学，先后担任助理教授 （2008–2014） 和副教授 （2014–2019） 。2019-2025 年任纽约州立大学石溪分校计算机科学系 Empire Innovation 教授，2025 年加入西湖大学任人工智能讲席教授。 在北京大学期间， 凌海滨 ...

Core Viewpoint - The company, New Times Technology (002527), has recently received multiple invention patents related to its main business areas, indicating a strong focus on innovation and technological advancement in various fields [1] Group 1: Patent Acquisition - The patents cover several key areas including image processing, computer vision, logistics system simulation testing technology, industrial robotics technology, and elevator technology [1] - These patents are directly related to the company's core business, suggesting potential for enhanced product offerings and competitive advantage in the market [1]

Core Insights - A research team from MIT, the University of Waterloo, and Samsung Electronics has developed a new method to increase transistor density on chips by stacking additional layers of transistors on existing circuits, which could significantly enhance chip performance and energy efficiency [2][4][5]. Group 1: New Manufacturing Method - The new method involves adding a layer of micro-switches on top of completed chips, similar to traditional chip stacking techniques, to increase the number of transistors integrated into a single chip [2]. - The research team utilized a 2-nanometer thick layer of amorphous indium oxide to construct additional transistors without damaging the sensitive front-end components during the manufacturing process [3][6]. Group 2: Energy Efficiency and Performance - This innovative approach allows for the integration of logic devices and memory components into a compact structure, reducing energy waste and improving computational speed [4][5]. - The new transistors exhibit a switching speed of just 10 nanoseconds, with significantly lower voltage requirements compared to existing devices, leading to reduced power consumption [6]. Group 3: Future Implications - The research indicates that if future processors can utilize both this new technology and traditional chip stacking methods, the limits of transistor density could be greatly surpassed, countering the notion that Moore's Law is reaching its end [3][4]. - The team aims to further integrate these backend transistors into single circuits and enhance their performance, exploring the physical properties of ferroelectric hafnium zirconium oxide for potential new applications [7].