刘杰鹏介绍，落地海南，是看中了海南自贸港的区位优势和政策优势。生产线投产后，产品将在满 足国内需求的同时，与基地生产的硬件打包"出海"，借助海南自贸港独特的地理位置和政策优势，择机 向东南亚市场拓展，探索"用户在外、产研在琼"模式。也正是基于对海南自贸港的信心，该基地在一期 工程尚未完工的情况下，已经为二期工程预留了3000平方米，为明年的扩容做准备。 "从公司注册到基地建设，仅用了两个月左右。"刘杰鹏说，每个环节当地政府部门都给予了全方 位、手把手的服务和支持，省大数据发展中心积极拉动上下游产业生态，让整机制造商在这里有应用场 景落地生根;在选址和租赁环节，秀英区积极协调厂房方，为企业争取租金优惠，切实降低项目落地及 运营成本。 智海科技智能制造基地负责人刘杰鹏介绍，基地以电脑终端产品研发、生产、制造为主，旗下包 含"海睿创"和"海寰"2个品牌，其中，海睿创品牌生产终端产品，包括台式电脑、笔记本电脑等，海寰 品牌生产企业级产品，包括服务器、存储等机房类设备。一期工程投产后可达到年产20万台终端电脑产 品、5000台至1万台服务器产品的水平。 和常规信息化设备不同的是，海睿创和海寰品牌产品都是基于热带高盐高湿 ...

读研想少走弯路、快速出成果？靠自己瞎摸索费时间费精力还没结果，找个厉害的榜样"抄作业"，才是最 直接的办法。 导师介绍 毕业于知名计算机名校。曾在多家公司担任算法研究员，并进行计算机视觉，高效模型压缩算法，多模态 大语言模型的研究，包括模型量化，剪枝，蒸馏，编译以及高效稀疏化训练与推理。 博士期间研究方向聚焦为计算机视觉，高效的深度学习训练和推理方法，大语言模型轻量化与高效微调技 术。 这套路看着"功利"，但真能让你在科研路上跑快点，别人还在绕小道，你已经上了高速。 厉害的榜样通常 来说，就是那些论文专利一大堆的导师学长学姐，但苦于和这些榜样搭不上话， 现在如何让入场甩开同 行，别人摸路你超车？ 自动驾驶之心联合业内知名LLM/MLLM方向学者推出了1v6指导小班课。从模型理论到代码实践， 业内大 牛手把手带走科研全流程，帮助大家形成自己的知识体系， 掌握LLM/MLLM论文的算法设计及创新思路。 扫码免费咨询 【科研成果】 在国际顶级会议CVPR,ICCV, EMNLP等发表十余篇论文， 并担任CVPR,ICCV,ECCV,ICML,ICLR, NeurIPS 等重要会议和期刊的审稿人。多项发明专利，已经指 ...

Core Viewpoint - The article discusses the illegal ticket scalping activities surrounding a popular museum in Shanghai, highlighting how a group exploited system vulnerabilities to purchase tickets in bulk and resell them at inflated prices, significantly impacting regular visitors' ability to buy tickets at official prices [2][10][37]. Group 1: Ticket Scalping Operations - A ticket scalping gang utilized technical means to infiltrate a museum's ticketing system, leading to tickets being sold out within minutes of release [2][10]. - The gang's operations involved using a ticket scalping software that allowed them to bypass normal purchasing restrictions, enabling them to secure tickets before the general public [16][22]. - The gang's activities resulted in the sale of over 9,000 tickets, with significant profits made through partnerships with travel agencies that sold tickets at 7 to 10 times the original price [24][35]. Group 2: Financial Implications - The original ticket prices were 30 yuan for adults, while the scalped tickets were sold for 200 to 300 yuan, leading to a substantial markup [6][35]. - The gang sold tickets to travel agencies at prices between 50 to 70 yuan, earning a profit of 20 to 30 yuan per ticket, while the agencies resold them at inflated prices [31][35]. - The total revenue from these operations reached over 440,000 yuan, with profits exceeding 200,000 yuan after deducting costs [33]. Group 3: Legal Consequences - The actions of the scalping gang were classified as illegal acquisition of computer information system data, leading to criminal charges against the main perpetrators [37][38]. - The case has prompted discussions on improving ticketing systems and regulations to ensure fair access for all visitors [40][42]. - Legal measures are being considered to deter such scalping activities, emphasizing the potential for significant prison sentences for offenders [45].

中国科学技术大学常务副校长潘建伟表示，未来20年，人工智能与量子计算的融合将成为重塑人类文明 的关键方向。在量子计算领域，目前超导量子计算相对更具优势，但未来可能是光和超导结合的路径。 未来科学大奖十周年庆典7月8日在上海举行。多位科学家围绕"未来20年最具颠覆性的科学变革""未来 50年最具突破潜力的方向"等前沿领域，共话科学未来发展趋势。 上海交通大学李政道研究所所长张杰指出，2022年12月5日，美国实现了净能量增益的惯性约束核聚变 反应，标志着人类首次掌握了可控核聚变能技术，对人类社会向非碳基终极能源的变革具有极其深远的 影响。张杰预计20年内聚变能将走进千家万户，为人类生活带来巨大变革。 上海交通大学李政道研究所副所长丁洪指出，从未来时间维度看，20年内最具颠覆性的当属通用量子计 算机，未来50年则要聚焦AI for Science。 在香港科技大学校董会主席沈向洋看来，大模型是一个涵盖技术、商业、治理等多要素的概念，将赋能 千行百业，而多模态是大模型发展中的重要里程碑，涉及算力、算法、数据等多方面因素。未来，增强 模型的理解和推理能力是融合多模态数据过程中的关键技术难点。同时，如何发展以人为本的机 ...

Core Insights - IBM and RIKEN researchers successfully simulated quantum behaviors of various molecules by combining quantum and supercomputing technologies, paving new paths for chemical and pharmaceutical research [1][2] Group 1: Research Collaboration - IBM's "Eagle" quantum computer collaborated with Japan's "Fugaku" supercomputer to simulate the quantum states of nitrogen molecules and two iron-sulfur compounds using a spatial quantum dynamics algorithm [1] - The quantum computer performed core calculations while the supercomputer acted as a "quality inspector," correcting errors in real-time [1] Group 2: Performance and Future Prospects - Although the hybrid model has not yet surpassed the independent performance of supercomputers, it has demonstrated competitive capabilities in computational chemistry [2] - Kenneth M. Moritz from Cleveland Clinic noted that the improved spatial quantum dynamics algorithm can simulate molecular behavior in solution, making chemical modeling more realistic [2] - There is optimism that the combination of quantum and classical computing could show significant advantages within a year after further algorithm optimization [2] Group 3: Industry Developments - NVIDIA has developed a software platform supporting hybrid computing, while Microsoft emphasizes the transformative potential of the combination of quantum computing, supercomputing, and artificial intelligence in chemistry and materials science [2] - Caution is expressed by Markus Reiher from ETH Zurich, who highlights the need to observe the method's performance in large molecule simulations before it can be considered the preferred approach for quantum chemical calculations [2] Group 4: Ongoing Improvements - The RIKEN laboratory has upgraded to a new IBM quantum processor with lower error rates, and the research team is working on optimizing the spatial quantum dynamics algorithm and enhancing the collaboration efficiency between "Eagle" and "Fugaku" [2]

如果您有任何科研辅导需求，欢迎联系我们！ 自驾方向： 大模型、VLA、端到端自动驾驶、3DGS、BEV感知、目标跟踪、毫米波雷达视觉融合、激光视觉融合、 多传感器标定、多传感器融合、车道线检测、在线地图、轨迹预测、世界模型、3D目标检测、Occupancy、高性能计 算、NeRF、语义分割、决策规划等。 具身方向： VLA、视觉语言导航、端到端、强化学习、Diffusion Policy、sim2real、具身交互、抓取点预测与位姿估 计、机器人决策规划、运动规划、3DGS、SLAM、触觉感知、双足/四足机器人、遥控操作、零样本学习等； 3D视觉 相关： 点云处理、3DGS、SLAM等； 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 今年的CVPR和ICCV工作陆续放出，从今年的2大顶会来看热点研究方向，主要集中在四个部分：通用cv、自动驾驶 相关、具身相关、3D视觉相关。下面是4个领域中细分的子方向。 计算机视觉与图像：diffusion、图像质量评估、半监督学习、零样本、开放世界检测等； 自动驾驶相关，集中在端到端、闭环仿真3DGS、多模态大模型、扩 ...

文 | 王启隆 出品 | CSDN（ID：CSDNnews） 投稿或寻求报道 | zhanghy@csdn.net 在计算机技术七十余年的演进史上，一个幽灵始终在行业上空徘徊——"程序员即将被机 器取代"。 然而，这并非 ChatGPT 爆火后才出现的新近焦虑，而是贯穿整个信息时代、最具韧性的预言之一。 每当一项旨在简化软件开发、降低技术门槛的重大技术跃迁出现时，"程序员末日论"便会应声而起， 以不同的技术名义，在每一个时代向同一个职业宣判死刑。 从 1950 年代编译器的诞生，到今天大 语言模型的崛起，历史已经上演了整整八轮几乎一模一样的"替代"故事。 所以，让我们一起追溯历史上这八次主要的"程序员替代论"浪潮，看看程序员如何"死而复生"，探究 程序员们"不死的秘密"。 自动化的黎明（1950 年代） 没有显示器，没有键盘，更没有我们熟悉的 IDE。 这个年代所谓的"程序员"，是一小群数学家和逻辑学家。他们的工作，是在一张张表格上手动填写一 长串令人费解的八进制码，每一个数字都对应着机器的一条指令、一个内存地址。然后，这些编码被 送去穿孔，变成一叠厚厚的卡片。 约翰·巴克斯 ，后来 FORTRAN 语言的发 ...

Group 1 - The core viewpoint of the report indicates that the computer industry is experiencing significant events, including Nvidia reclaiming the title of the world's most valuable company and the launch of Huawei's Cloud Pangu Model 5.5, while Apple's WWDC 2025 did not meet market expectations [1][2] - The computer industry index's strong performance this week is attributed to a unique timing factor, as historically, the computer industry tends to underperform in July, and current conditions do not sufficiently indicate a mid-term trend [1][2] - The report maintains an "overweight" investment rating for the computer industry, suggesting continued observation of market performance in early July to determine the nature of the end-of-month market [2] Group 2 - The report notes that the investment enthusiasm for the computer industry is gradually declining, with market focus shifting towards traditional industries, making it difficult for the computer sector to achieve an independent market trend in June [2] - From June 23 to June 27, the computer industry's performance exceeded expectations, contrasting with the overall trend observed throughout June [2] - Risk factors identified include the possibility of macroeconomic stimulus policies falling short of expectations, targeted measures from foreign countries against China, and the potential escalation of the US-China tariff war [2]

Core Insights - The report titled "Global AI Research Landscape Report (2015-2024)" analyzes the evolution of AI research over the past decade, highlighting the competitive landscape between China and the United States in AI talent and publication output [2][7]. Group 1: AI Research Trends - The report identifies four distinct phases in AI research: initial phase (2015-2016), rapid development phase (2017-2019), maturity peak phase (2020-2023), and adjustment phase (2024) [4][5]. - The number of AI papers published globally increased significantly, with a peak of 17,074 papers in 2023, representing nearly a fourfold increase from 2015 [5][6]. - The year 2024 is expected to see a decline in publication volume to 14,786 papers, indicating a shift towards more specialized and application-oriented research [6]. Group 2: Talent Distribution - China has emerged as the second-largest hub for AI talent, with a total of 52,000 researchers by 2024, growing at a compound annual growth rate of 28.7% since 2015 [8]. - The United States leads with over 63,000 AI researchers, with significant contributions from institutions like Stanford and MIT, as well as tech giants like Google and Microsoft [8][9]. - Chinese institutions such as the Chinese Academy of Sciences, Tsinghua University, and Peking University are leading in terms of publication output and talent concentration [7][9]. Group 3: Institutional and Corporate Performance - The Chinese Academy of Sciences published 4,639 top-tier papers, while Tsinghua University and Peking University followed closely, showcasing China's institutional strength in AI research [7][9]. - In contrast, U.S. companies like Google, Microsoft, and Meta have a significantly higher average publication output compared to their Chinese counterparts, reflecting a disparity in research investment and output capabilities [9][10]. - The top three U.S. companies published 5,896 papers, which is 1.8 times the output of the top three Chinese companies [9][10]. Group 4: Gender Disparity in AI Talent - The report highlights a significant gender imbalance in AI research, with women making up only 9.3% of AI talent in China compared to 20.1% in the U.S. [12][13]. - Chinese institutions like Tsinghua University and Peking University have low female representation in AI, at 7.88% and 9.18% respectively, compared to 25%-30% in top U.S. institutions [12][13]. Group 5: Future Trends in AI Research - The report indicates that "deep learning" has been the dominant focus in AI research over the past decade, but its growth rate is expected to slow down, suggesting a need for new approaches [14][15]. - Emerging technologies such as "Transformers" are gaining traction, particularly in natural language processing and multimodal AI, indicating a shift in research focus [15]. - The integration of traditional AI fields with deep learning techniques is becoming more prevalent, reflecting a trend towards collaborative and interdisciplinary research [15].

Group 1 - The event aims to promote academic exchange and innovation collaboration among global youth AI researchers, responding to the theme of the World Artificial Intelligence Conference [3] - The initiative seeks to provide a high-standard academic exchange platform for young scholars and technology developers, facilitating the collision of academic ideas and the transformation and dissemination of research results [3] Group 2 - The call for submissions focuses on cutting-edge explorations in the field of artificial intelligence, covering areas such as large models, generative AI, computer vision, reinforcement learning, AI ethics, and interdisciplinary applications [4][5][6][7][8] - Submissions can take the form of academic posters or preprint papers, with specific guidelines for each format, including visual presentation requirements and structural expectations for research papers [8][9] Group 3 - Selected works will be showcased at the World Artificial Intelligence Conference, with opportunities for authors to present their findings and engage with industry leaders [10] - Authors may apply for direct recommendations to top international journals, including Nature Machine Intelligence, with expedited review processes for recommended papers [10][14] Group 4 - Submission materials must include a title, author information, and either a poster design file or a full preprint paper, along with a brief research highlight summary [11] - The submission deadline is July 10, 2025, with notifications of review results by July 15, 2025, and the conference scheduled for July 27, 2025, in Shanghai [12]