Workflow
计算技术
icon
Search documents
算力赋能 “数字经济”迸发时代脉动——2025世界计算大会观察
Xin Hua She· 2025-11-21 17:03
大会发布的创新成果显示,一批千亿参数开源大模型凭借开放性、低成本和高性能,打破高投入"门槛",成为驱动全球计算技术创新与应用普及的引擎。如 千亿参数级别的大语言模型,已经在手机、汽车、智能家居等物联网设备领域实现流畅运行。 大模型、机器人、脑机接口……正在长沙举行的2025世界计算大会上,从主题报告、专题活动到创新成果展,很多内容展现算力新进展,让人感受到"数字 经济"的时代脉动。 本届大会创新成果展示,呈现出很多独特"风景"。 大模型是主展区各家参展单位的"标配"。有参展单位说,随着算力提升,多款千亿参数开源大模型相继问世。中小企业无需巨额投入,可以直接在开源模型 基础上开展微调和二次开发。企业和个人使用开源大模型研发信息技术应用产品,如今变得日益普遍。 在展会现场,机器人"才艺"闪耀,令人目不暇接。大会创新成果展示区,有机器人乐队演奏、机器"艺术家"作画、物流机器人"搬砖"、文旅机器人唱歌、装 配机器人"打螺丝",还有医疗、康养、陪护、运动助力等各类机器人的发布、演示、售卖…… 大会开幕式上,主办方发布了2025全球计算十大创新成就。其中"全球算力水平首次达到ZFLOPS级"位居首位。专家介绍,日益成熟的 ...
千亿参数开源大模型加速“算力普惠”
Xin Hua She· 2025-11-21 00:23
Group 1 - The 2025 World Computing Conference was held in Changsha on November 20-21, showcasing the rapid increase in global computing power and the widespread application of large models in consumer products such as smartphones, cars, and smart home devices, leading to significant changes in production and lifestyle [1][2] - The conference highlighted ten global computing innovations, including the exponential growth of global computing capabilities, the acceleration of generative AI applications, and the commercial deployment of neuromorphic processors, marking a new era in brain-like computing [2][3] - Advanced computing-driven intelligent factories reported an average reduction of product development cycles by 28.4%, an increase in production efficiency by 22.3%, a decrease in defect rates by 50.2%, and an average reduction in carbon emissions by 20.4% [4] Group 2 - The strategic importance of advanced computing in reshaping the global industrial landscape is increasingly recognized, with the computing technology evolution driving significant changes in the information technology industry and the digital economy [4] - The World Computing Conference has evolved into an international and professional platform for communication in the computing field since its establishment in Changsha in 2019, now hosting its seventh edition [4]
今年电影总票房破450亿丨今日财讯
Sou Hu Cai Jing· 2025-11-10 14:05
Group 1 - The State Council has issued 13 targeted policy measures to stimulate private investment and enhance its development [2][4] - The Ministry of Commerce and other departments have adjusted the management catalog for the export of precursor chemicals to specific countries, adding the US, Mexico, and Canada to the list [2][4] - The eighth China International Import Expo has achieved a record intended transaction amount of $83.49 billion, marking a 4.4% increase from the previous event [2][4] Group 2 - The National Health Commission has announced that the country has entered the flu epidemic season, with flu activity levels significantly rising, particularly in southern regions [6] - In the first three quarters, China's gold production reached 271.782 tons, a year-on-year increase of 1.39%, while gold consumption fell by 7.95% to 682.73 tons [8] - The total box office for films in China has surpassed 45 billion yuan as of November 10, 2025 [9] Group 3 - A trend of bank app shutdowns has emerged, with over 10 small and medium-sized banks discontinuing credit card apps in 2024, and at least 6 more banks following suit in the first 10 months of 2025 [12] - The 2025 Global Computing Conference was held in Shenzhen, focusing on AI opportunities, with predictions indicating AI could drive a 15% increase in global economic growth over the next decade [13] - For the first time in nearly 30 years, global central banks' gold holdings have surpassed US Treasury bonds, with gold prices rising nearly 50% since the beginning of the year [14]
10.28犀牛财经早报:科创板科创成长层3家未盈利企业上市 “人造太阳”关键核心材料实现国产工业化制备
Xi Niu Cai Jing· 2025-10-28 01:59
Group 1: Securities Firms Performance - Several listed securities firms have reported their Q3 results, showing that leading firms remain stable while smaller firms are experiencing rapid growth [1] - The A-share market has seen active trading and a significant increase in margin financing, providing a boost to various business operations of securities firms [1] - The securities sector is expected to present new investment opportunities due to multiple factors including policy, funding, performance, and valuation [1] Group 2: New Listings and Market Developments - Three unprofitable companies, He Yuan Bio, Xi'an Yicai, and Bibete, have successfully listed, marking the growth of the Sci-Tech Innovation Board [2] - The total number of companies on the Sci-Tech Innovation Board has reached 592, with 11 companies listed this year, raising a total of 16.95 billion yuan, a 54% increase year-on-year [2] Group 3: Commodity Market Trends - The copper futures market has seen a continuous inflow of funds, with a total capital of 48.758 billion yuan, making it the second-largest commodity futures market after gold [1] - Shanghai copper futures prices have surpassed 88,300 yuan per ton, while London Metal Exchange copper prices have exceeded $10,000 per ton, approaching historical highs [1] Group 4: Corporate Financial Results - Dongyangguang reported a net profit of 906 million yuan for the first three quarters, a year-on-year increase of 189.8% [7] - Xintai's net profit for the first three quarters reached 581 million yuan, reflecting a year-on-year growth of 13.93% [8] - Aier Eye Hospital's Q3 net profit was 1.064 billion yuan, down 24.12% year-on-year [8] - Huazheng Technology reported a net profit of 3.099 billion yuan for the first three quarters, a year-on-year increase of 51.17% [9] Group 5: Market Indices and Economic Indicators - The three major U.S. stock indices have reached new highs, with the Nasdaq rising by 1.86% and the S&P 500 by 1.23% [10] - The market anticipates further interest rate cuts from the Federal Reserve, contributing to the rise in stock indices [10] - Long-term U.S. Treasury yields have declined, with the 10-year yield falling below 4% [10]
多架构齐头并进 光计算技术加速迈向商业化
Ke Ji Ri Bao· 2025-09-08 00:18
Core Insights - The demand for computing power is increasing across various industries due to the expansion of complex tasks like AI training, while traditional electronic computing architectures face limitations such as the "von Neumann bottleneck" [1] - Optical computing technology, which processes data using light instead of electricity, is emerging as a promising solution, showing rapid development and potential for industrial applications in fields like intelligent computing centers and new material research [1] Advantages of Optical Computing - Light is a fast, low-energy medium with rich information dimensions, making optical computing advantageous over traditional electronic computing [2] - Optical computing supports parallel processing due to multiple physical dimensions of light, making it suitable for high-density tasks like scientific computing and machine learning [2] - Photonic devices generate minimal heat, offering significant energy efficiency [2] - Optical devices have a wider bandwidth and superior performance in processing broadband analog signals compared to electronic devices [2] - The speed of optical devices is exceptional, with nearly no latency, enhancing computational efficiency [2] Different Architectures - Free Space Optics (FSO) is the earliest form of optical computing, utilizing lenses and spatial light modulators to manipulate light in air or vacuum, but faces challenges in durability and reliability [3] - Photonic chips integrate miniature optical components and can be easily incorporated into existing electronic architectures, though scalability for complex tasks remains a challenge [3] - Optical interconnect devices are being developed to enable high-speed data transmission between electronic components, relying on innovations in new materials to reduce signal loss [3] - Fiber optic systems leverage existing fiber communication infrastructure for complex calculations, particularly in optimization problems and AI, but still depend on electronic devices for key functions [4] Technical Bottlenecks - The development of optical computing is at a critical juncture, with a pressing global need for faster, more environmentally friendly computing solutions [5] - Short-term prospects favor all-optical free space systems and hybrid systems that combine light and electricity, with potential in memory-computing architectures [5] - Mid-term innovations may involve new processing architectures that combine spatial and temporal dimensions for enhanced performance and efficiency [6] - Key challenges include precision and stability issues, with ongoing research focused on improving interference resistance through feedback systems and real-time calibration [8] - Optical data storage remains a significant challenge, with potential solutions involving optical cavity-based systems to minimize data loss during processing [8] - Integration and packaging challenges exist, but advancements in 3D packaging technology and new materials may enhance scalability and reduce costs [8]
上海开放计算研究院筹备建设中并于今日揭牌
news flash· 2025-07-17 02:21
Core Viewpoint - The establishment of the Shanghai Open Computing Research Institute aims to advance RISC-V based computing architecture and high-performance, trustworthy system software design, focusing on AI applications and distributed systems [1] Group 1: Research and Development Focus - The research institute will collaborate with top domestic and international research institutions and industries to tackle key technologies related to large-scale distributed systems for AI, next-generation AI hardware, parallel programming language compilers, and vertically optimized software systems driven by system framework scenarios [1] Group 2: Resource Utilization and Ecosystem Development - The institute plans to leverage resources from government, industry, research, and market applications to create a new model for open-source, research innovation, and industrial application development, promoting the local and national open computing system ecosystem [1]
光学神经引擎高效求解偏微分方程 为下一代高性能计算技术发展开辟新方向
Ke Ji Ri Bao· 2025-06-16 23:44
Core Insights - A groundbreaking study from the University of Utah's College of Engineering introduces a method to encode partial differential equations (PDEs) into light waves, processed by a novel optical device called the Optical Neural Engine (ONE), marking a significant step from theoretical exploration to practical application in optical computing [1][2]. Group 1: Technology and Methodology - The ONE system combines the advantages of diffractive optical neural networks and optical matrix multipliers, modeling PDEs using optical methods rather than traditional digital representations [1]. - The system utilizes different properties of light waves, such as intensity and phase, to represent various variables in the equations, allowing the light signals to evolve through a series of optical components to yield solutions to specific PDEs [1][2]. Group 2: Applications and Impact - The research tested the ONE system on several classical PDEs, including Darcy's law (for groundwater flow modeling), the static magnetic Poisson equation in demagnetization processes, and the Navier-Stokes equations (widely used in fluid mechanics), demonstrating good adaptability and accuracy [2]. - This research provides a multifunctional, high-efficiency platform for large-scale scientific computing and engineering simulations, with potential significant impacts in fields such as geological modeling, chip design, and climate simulation [2].