Category: ACN Newswire

HONG KONG, Aug 8, 2025 - (ACN Newswire via SeaPRwire.com) - Currently, advancements in artificial intelligence (AI) technology are driving the evolution of AI from iterative improvements in algorithms to significant breakthroughs in computational infrastructure. During this round of technological evolution, a massive demand for AI inference computing is emerging, setting new benchmarks for the architecture and cost-efficiency of computing power.Compared with general-purpose GPU architectures, NPU chips designed specifically for AI inference scenarios have become the foundation supporting the large-scale commercialization of AI industries due to the advantages such as high cost-effectiveness, energy efficiency and customization. These chips are gradually becoming one of the mainstream development directions for AI chips, accelerating the industry's transition from an era centered on GPUs for large model training to an era focused on NPUs for AI inference computing. In this race, the innovation capabilities at the foundational architecture level and extensive experience in large-scale application deployment are progressively contributing to a company’s overall competitiveness and sustainability.Among these players, Shenzhen Intellifusion Technologies Co., Ltd. (“Intellifusion”) is the first company to commercialize domestic high computing power AI inference chips in China. As a pioneer in NPU research and design, Intellifusion integrates multiple generations of architectural technical knowledge with mature commercialization experience to create high-performance, cost-effective and highly versatile inference chips. Intellifusion has achieved large-scale deployments across enterprise, consumer and industry-grade scenarios, establishing a leading position in China's AI inference chip-related products and services market in terms of revenue in 2024. On July 30, Intellifusion submitted its listing application to the Hong Kong Stock Exchange.Led by a “Hardcore” management team: providing strong traction for strategic implementationIn the deep tech sector of AI chips where technology, capital and talent concerntration converge, the management team serves not only as decision-maker for corporate strategy but also as "navigators" guiding Intellifusion through technological and industrial cycles. Intellifusion’s ability to gain a firm foothold in the highly complex and fiercely competitive AI inference chip market is inseparable from its core team, which boasts strategic foresight, technical prowess and hands-on industry experience.Dr. Chen Ning, founder, executive director and general manager of Intellifusion, is a worldwide rare expert with deep experience in semiconductor and possesses both overseas and domestic industry experience. Standing at the forefront of technology, Dr. Chen deeply understands the path from theoretical breakthroughs to product transformation, and not only possesses visionary technical foresight, but also demonstrates strong execution capability in industrialization and commercialization, which enable him to grasp Intellifusion's long-term strategic trajectory from the cutting edge of technological development with commercialization capability, and drive deep innovation along the "algorithm + chip" integration path, providing long-term traction for Intellifusion’s sustained growth.As one of the key pioneers in China's domestically-developed AI inference chips, Dr. Chen Ning has spearheaded the design and development of homegrown AI inference chips, achieving end-to-end innovation from algorithmic breakthroughs to chip-based implementation. He can rightly be considered one of the founding figures in the industrialization of China's AI inference chips. His recognition as the prominent individuals in innovation and entrepreneurship and outstanding role models at the 40th Anniversary of Shenzhen Special Economic Zone, and in July of this year, he was selected alongside entrepreneurs such as Xingxing Wang, founder of Unitree Robotics, Weiliang Chen, founder of MetaX, and Peng Zhang, CEO of Zhipu AI, as one of CCTV’s ‘AI Leaders of the Year’,.further solidifies his strategic leadership position in China's AI industry.Under the leadership of Dr. Chen Ning, Intellifusion has assembled a elite Research & Development (“R&D”) team with core members averaging over 25 years of experience in the AI industry. These veterans have long served at leading domestic technology companies, covering the entire critical technology chain from chip architecture design to algorithm development and optimization. As of the Latest Practicable Date, Intellifusion boasts 489 R&D personnel, including more than 50 engineers with over a decade of chip design experience and multiple national-level leading technical experts. This composition has established a synergistic system for chip design and algorithm development guided by seasoned industry specialists, providing robust support for rapid product innovations and continuous technological breakthroughs."Algorithm + chip" integrated strategy builds high technological barriersUnlike traditional "algorithm companies" or "chip companies" that focus on singular breakthroughs, Intellifusion has consistently adhered to the advanced concept of co-designing algorithms and chips since its inception. This approach has forged an integrated software-hardware technical capability that creates a self-reinforcing virtuous cycle, where insights from real-world deployment continuously refine algorithms, algorithmic innovations drive chip architecture upgrades, and enhanced chip performance unlocks new application scenarios. This creates a compounding flywheel effect, progressively elevating R&D efficiency and commercial scalability.At the foundational technology level, Intellifusion has established its proprietary "IFIC" platform through its algorithm-to-silicon integration capability. This end-to-end system encompasses the entire AI inference chip R&D process: algorithm analysis - instruction set definition - chip architecture design - toolchain optimization. This enables Intellifusion to develop successive generations of NPUs and AI inference chips, ensuring optimal efficiency and scenario-specific adaptability.For architectural design, Intellifusion launched “AI Computing Blocks” by employing fully home-grown advanced domestic manufacturing processes, secure supply chain with advanced semiconductor processes, featuring standardized compute units that can be stacked like building blocks to flexibly configure chips with variable computing power and enable multi-chip interconnect for scalable systems, realizing single tape-out enables multiple packaging variants, efficiently producing chips of diverse specifications while balancing flexibility and cost. To address the data transmission bottleneck of traditional computer chips, Intellifusion has pioneered an innovative Near-memory Hyper-converged Architecture, which realizes vertical integration by seamlessly combining memory and computing units in a stacked configuration, enabling direct data flow through the 3D structure, eliminating bandwidth limitations of traditional packaging interconnections, achieving on-chip bandwidth and sub-nanosecond latency, dramatically lowering the energy consumption of data transportation, and perfectly adapting to the needs of real-time loading of large-model parameters.In the chip domain, Intellifusion has developed its DeepEdge Series of inference chips based on the "IFIC" Infrastructure, utilizing the innovative " AI Computing Blocks" Architecture. Currently, DeepEdge10 Series covers a wide range from 8T to 128T of computing power per chip and supports Transformer-based models for efficient AI inference, which can realize balanced performance & efficiency, low power consumption, and flexible deployment.In terms of technology update, Intellifusion has completed development of its 4th-generation NPU and is now advancing R&D for the next-generation high-performance NPU, Nova 500.This integrated R&D system centered on "algorithms + chips" enables Intellifusion to not only ensure leading-edge performance and rapid iteration in chip design but also continuously strengthen its technological moat through product adaptability, deployment scalability, and ecosystem expansion. Notably, Intellifusion has been awarded the highest award for intelligent science and technology in China. - the "Wu Wenjun AI Science & Technology Award " - three times, making it the only company in China to have won top prizes in all three categories: algorithms, chips, and applications. This recognition underscores its end-to-end innovation capability, from core technology development to industrial implementation.Riding the Global Inference Wave: Securing Long-Term Value in AI ChipsAs the proportion of inference computing in the total lifecycle cost of large models continues to rise, surging application demand will dramatically expand the scale of inference computing needs, creating a historic opportunity for the AI industry. According to the CIC Report, the market size of AI inference chip-related products and services industry in China is expected to reach RMB1,383.0 billion by 2029, at a CAGR of 53.4% from 2024 to 2029. In particular, the NPU-powered market size is projected to climb to RMB395.4 billion by 2029, at a CAGR of 72.3% from 2024 to 2029, significantly outpacing the overall market.Under the guideline of the advanced algorithm-to-silicon chip design methodology, Intellifusion, a pioneer in the high-potential market, has established an integrated software-hardware technical capability that creates a self-reinforcing virtuous cycle. Its products and services have been validated across multiple critical application scenarios, positioning Intellifusion as an industry frontrunner. According to the CIC Report, Intellifusion is a global top-three leader in full-scenario AI inference chip-related products and services in China, based on the relevant revenue in 2024. Intellifusion is also a top-two provider of NPU-powered AI inference chip-related products and services in China, based on the relevant revenue in 2024.Leveraging its IFIC Infrastructure, R&D capabilities in AI inference chips, and deep market insight, Intellifusion can respond quickly to changes in industrial demands and grasp the opportunity in the upcoming boom in AI inference chip-related products and services industry. Supported by policy tailwinds, growing application maturity, and semiconductor supply chain localization trends, Intellifusion is strategically positioned to capitalize on China’s golden window for domestic AI chips, emerging as both a key beneficiary and driver in the global recomposition of AI compute power.In summary, Intellifusion has not only achieved full autonomy from self-developed architectures to ecosystem development but also made breakthroughs across market expansion, technological innovation, and product commercialization, establishing a difficult-to-replicate end-to-end advantage. Should its Hong Kong IPO proceed smoothly, at the time of listing, Intellifusion could potentially become China’s first and only artificial intelligence company with a dual A+H listing (Shanghai + Hong Kong). This milestone would fully unlock cross-border M&A opportunities, allowing Intellifusion to aggregate global resources, attract top-tier AI talent worldwide, and further solidify its leadership in China’s AI industry, particularly in the inference chip segment. Copyright 2025 ACN Newswire via SeaPRwire.com.

香港，2025年8月7日 - (亚太商讯 via SeaPRwire.com) - 近日，北京极智嘉科技股份有限公司（「极智嘉」，2590.HK）发布上市后首份财报预告。根据公告，2025年上半年，公司预计实现收入约人民币9.95亿元至10.3亿元，同比增长27%至32%；净亏损同比大幅收窄90%至92%，降约人民币4,500万元至5,500万元；经调整净亏损进一步降至约人民币1,000万元至2,000万元，同比收窄90%至95%，积极增长信号明显，持续巩固To B机械人商业化领先地位。随后，国信证券、德意志银行、中信证券、摩根士丹利陆续发布研报，首予极智嘉"优于大市"、"买入"、"增持"评级，一致看好公司成长潜力。综合考虑AMR行业景气度、公司在全球AMR龙头地位迭加盈利持续好转态势，预计其2025年有望实现扭亏为盈。作为"AI+机械人"代表企业，极智嘉构建了全栈AI技术架构，利用AI技术来优化AMR设置以提高仓库效率及客户粘性。业绩强势增长背后，是极智嘉持续推进技术延展与场景深耕，尤其在「人工智能+」战略背景下，公司依托其自身优势，向具身智能领域加快拓展，为未来成长打开更大空间。仓储机械人跑通AI商业模式，具身智能打开新蓝海业绩预告显示，极智嘉业绩增长的核心引擎，仍源自其仓储移动机械人解决方案的强势交付。在「人工智能+」政策导向下，极智嘉通过「AI算法+机械人技术」，颠覆传统的仓储自动化逻辑，实现从软件决策层对硬件的柔性调度，以更低部署成本、更快响应速度，在「人工智能+仓储」的场景中，跑通了AI商业化的闭环，也为其技术外溢打下坚实基础。作为人工智能的前沿方向，具身智能正从技术验证迈向实际应用，展现出广阔的发展潜力。与生产制造场景中差异化的工位应用、项目规模小不同，仓储场景具备高度一致性、项目规模大等天然优势，更易实现技术复制和规模化扩张，使其成为to B的机械人领域最优质的市场，同时也成为具身智能落地的理想场景。业内普遍判断，具身智能在B端的路径，极可能从仓储起步实现规模落地，再延伸至制造、商用乃至家用领域。极智嘉瞄准这一发展趋势，于近日设立北京极智嘉具身智能科技有限公司，进军具身智能领域，作为其技术实力的延伸。据了解，该公司将聚焦机械手拣货、通用机械人等具身智能技术研发和相关产品业务，与其现有物流机械人业务实现紧密协同。借助现有的品牌和业务网络，极智嘉有望快速推进技术和产品的广泛商用。三重壁垒加持，打造具身智能赛道稀缺目标作为全球AMR机械人龙头，极智嘉已建立商业化能力、研发实力与场景数据三重优势，为其切入具身智能领域提供坚实支撑。在商业化落地方面，极智嘉已连续六年稳居全球AMR仓储机械人市场第一，2024年营收达24亿元，逼近扭亏为盈，是港股机械人板块已上市企业中收入最大、商业化最成功的企业。截至2024年底，极智嘉服务全球40多个国家超800家客户，客户复购率高达75%，体现出极高粘性。公司的既有能力和资源，不仅为其具身智能技术和产品提供了成熟的应用场景与标杆验证管道，大大加速市场切入过程，更将为全球化落地和规模化扩张，提供保障。在技术实力方面，截至2024年底，极智嘉拥有1,867项专利，竞争壁垒深厚。公司研发人员占比达41%，是同行业中规模最大的研发团队之一，并在机械人感知、决策与控制、多智能体协同等具身智能领域拥有深厚积累。公司开发了全球首个AMR机械人通用技术平台Robot Matrix、AMR市场最全面的ALL in one软件系统平台、自研协同优化算法平台。其AMR解决方案可最大可调度超5000台AMR，极大提升效率，且其解决方案的全球应用及复制，也验证了公司技术在复杂场景中体现出的鲁棒性、可靠性和可扩展性，证明了其强大的软硬件和算法研发实力。在场景数据方面，极智嘉长期扎根真实业务场景，积累了海量作业数据和深刻的场景洞察，是其角逐具身智能的先天优势，不仅将显著加速技术验证，更将在未来具身智能模型的训练上，形成自我强化飞轮，持续扩大优势，在竞争中拉开身位。行业向头部集中 价值重估窗口已开当前，AMR（自主移动机械人）解决方案正成为仓储AMR全球市场自动化的主要驱动力，根据灼识咨询，2024年至2029年市场规模有望从390亿元增长至1620亿元，复合年增长率将高达33%。与此同时，头部效应日益显著，越是头部企业，越能形成品牌势能、客户粘性与成本优势，从而进一步提升市占率。极智嘉作为行业龙头，正处于这一「赢家通吃」逻辑的中心，将率先受益于行业扩张。从资本市场角度看，作为机械人行业里少数已实现规模化收入的上市公司，极智嘉当前市销率仅约9倍，显著低于其他港股机械人企业。极智嘉凭借持续强化的商业模型、稳健扩大的全球版图，以及已率先跑通的AI商业化路径，有望成为港股市场AI机械人领域长期配置的核心目标之一，为其股价提供强劲支撑。此外，极智嘉成熟的商业化模型、顶尖的研发资源、深厚的场景积累及数据资产，已为其抢占具身智能商业化蓝海备足弹药。随着具身智能业务持续突破，极智嘉的成长性与估值弹性将得到显著提升，打开资本市场估值上行空间。 Copyright 2025 亚太商讯 via SeaPRwire.com.

CYBERJAYA, MALAYSIA, Aug 6, 2025 - (ACN Newswire via SeaPRwire.com) - The University of Cyberjaya (UoC) welcomes the Government’s forward-looking vision for education and talent development as outlined in the Thirteenth Malaysia Plan (RMK13) and the National AI Action Plan 2030. These blueprints signal a decisive move toward nurturing ethical, digitally fluent, and globally competitive Malaysians, goals that are fully aligned with UoC’s mission.Prof. David Whitford, Vice-Chancellor of the University of Cyberjaya“RMK13 is not just a plan for national development, it’s a roadmap for reshaping the human capital landscape of Malaysia,” said Prof. David Whitford, Vice-Chancellor of the University of Cyberjaya. “We applaud its emphasis on character, AI literacy, digital skills, and entrepreneurship, all of which are integrated into our programmes.”As a healthcare and technology-focused university, UoC is committed to:Embedding AI exposure and digital competencies across all disciplines;Supporting lifelong learning through flexible pathways and adult education initiatives;Enhancing graduate employability via compulsory internships, employer engagement, and soft skills development.“The government’s commitment to paid, compulsory internships and new metrics for graduate outcomes directly supports the work we’ve been doing to strengthen real-world readiness,” Prof. Whitford noted. “Our graduates are already achieving high employability thanks to strong industry linkages and soft skills infused curriculum.”UoC also supports the RMK13’s proposed pilot autonomy for universities, recognising this as a critical step toward greater innovation, agility, and accountability in higher education. The University is prepared to work closely with both public and private stakeholders to ensure high-impact research, academic excellence, and internationalisation remain core to Malaysia’s tertiary education future.“The University of Cyberjaya stands ready to play its part in supporting Malaysia’s ambition to become a top 30 global economy and a top 20 innovation nation by 2030,” said Prof. Whitford. “The future begins with the talent we develop today."Issued by MNAIR PR Consultancy Sdn. Bhd. on behalf of University of Cyberjaya:For media enquiries:MNAIR PR ConsultancyShuman VasuAssociate Director, Public Relations+6017 354 6461shumanv@mnairpr.comUniversity of Cyberjaya’s Public Relations Office:Sharon Oh or Asyraf ShipurizanCommunicationsCyberjaya Education Group Berhadgcmc@cyberjaya.edu.my Copyright 2025 ACN Newswire via SeaPRwire.com.