Investment Rating - The report maintains a "Recommended" rating for the industry, indicating a positive outlook for the sector's fundamentals [6]. Core Insights - The automotive and industrial sectors are expected to see a significant recovery, with Q1 2025 being identified as a low point for revenue [3][19]. - The report highlights a notable increase in automotive orders, driven by the Asia region, which is contributing to an overall improvement in industrial inventory levels [3][19]. - The company is focusing on optimizing its manufacturing layout and has set a target for cost savings of several hundred million dollars by the end of 2027 [26][29]. Summary by Sections Financial Performance - In Q1 2025, the company reported revenue of $2.52 billion, a year-over-year decline of 27.3% and a quarter-over-quarter decline of 24.2%, but it exceeded the midpoint of guidance [1][15]. - Gross margin was reported at 33.4%, down 8.3 percentage points year-over-year and 4.3 percentage points quarter-over-quarter, primarily due to product mix effects [1][15]. - The inventory level reached $3.01 billion, with inventory turnover days increasing to 167 days, up 45 days from the previous quarter [1][15]. Business Segment Performance - Revenue from the automotive sector was $980 million, down 39% year-over-year and 34% quarter-over-quarter, but the order-to-shipment ratio was greater than 1, indicating significant order growth [2][16]. - The industrial segment saw revenue of $530 million, down 32% year-over-year and 18% quarter-over-quarter, with an improvement in order levels compared to Q4 2024 [2][22]. - The personal electronics segment reported revenue of $600 million, down 11% year-over-year and 17% quarter-over-quarter [2][16]. Market Outlook - The guidance for Q2 2025 anticipates revenue of $2.71 billion, representing a year-over-year decline of 16.2% but a quarter-over-quarter increase of 7.7% [4][28]. - The report emphasizes that the automotive and industrial sectors are expected to improve, with a focus on electric vehicle strategies and advancements in power management solutions [19][20]. - The company plans to maintain capital expenditures between $2 billion and $2.3 billion in 2025, primarily for optimizing manufacturing layouts [4][28]. Strategic Initiatives - The company is investing in advanced manufacturing technologies, including 300mm silicon wafers and 200mm silicon carbide production lines, to enhance production efficiency [26][29]. - A partnership with Innoscience for GaN technology development is expected to accelerate advancements in power technology [22][26]. - The report highlights ongoing efforts in sustainability, with a commitment to achieving carbon neutrality by 2027 [27].

Core Viewpoint - Guokewi (300672) reported a revenue of 1.978 billion yuan and a net profit of 97.15 million yuan for 2024, with a proposed dividend of 30 million yuan, while the Q1 2025 report showed a revenue of 305 million yuan and a net profit of 51.51 million yuan, marking a 25% year-on-year increase [1][2]. Group 1: Financial Performance - In 2024, Guokewi's overall gross margin improved to 26.29%, an increase of 13.85 percentage points, despite a 53.26% decline in revenue [2]. - The company achieved a gross profit of 520 million yuan in 2024, remaining stable year-on-year [2]. - For Q1 2025, the overall gross margin further increased to 34.48%, up 12 percentage points year-on-year, indicating a strong start for the year [3]. Group 2: Business Segments - The main business segments include smart vision and ultra-high-definition smart display, with smart vision products generating 946 million yuan in revenue, accounting for 47.84% of total revenue in 2024 [4]. - The ultra-high-definition smart display series generated 774 million yuan in revenue, representing 39.15% of total revenue [5]. - Guokewi is actively developing products to meet the complex governance needs of broadcasting and television operations, with plans to support GPMI in set-top boxes by 2025 [5]. Group 3: R&D and Innovation - In 2024, Guokewi invested 675 million yuan in R&D, a 10.26% increase, achieving record-high investment levels [2]. - The company is focusing on high-margin, high-threshold business areas, optimizing resource allocation to enhance profitability [3]. - Guokewi is advancing its "Edge AI" strategy, aiming to integrate advanced AI technology with large-scale integrated circuit design across various sectors [10]. Group 4: New Business Development - Guokewi is expanding into new business areas such as automotive electronics and wireless LAN, launching various products to meet market demands [8]. - The company has developed AI chips for automotive applications, covering a range of camera resolutions and AI computing power [8]. - In the wireless LAN sector, Guokewi has introduced Wi-Fi 6 chips capable of supporting high-speed communication, marking a step towards becoming a high-end wireless LAN chip supplier [9].

Group 1 - Intel is undergoing significant reforms under new CEO Pat Gelsinger, who took office in March 2023, with plans to meet supply chain partners in Taiwan during the 40th anniversary dinner in May [1] - Gelsinger will not deliver a keynote speech at COMPUTEX but is expected to share insights on industry prospects at the anniversary event [1] - Intel's annual report indicated that the company's performance in 2024 did not meet shareholder expectations, prompting a commitment to transformation and strengthening its product and foundry businesses [2] Group 2 - The upcoming COMPUTEX event will feature key industry figures, including NVIDIA's CEO Jensen Huang and Qualcomm's CEO Cristiano Amon, discussing future technologies such as AI and edge computing [2] - Gelsinger emphasized the need for Intel to develop competitive rack-scale system solutions to meet customer demands for lower costs and higher efficiency in cloud AI data centers [2]

如果您希望可以时常见面，欢迎标星收藏哦~ 来源：内容 来自 technews ，谢谢。 陈立武在3月27日发布的英特尔年度报告中提到，英特尔2024年的表现确实未达到股东们的期望， 他将持续推动转型，并承诺打造更强大的产品业务和晶圆代工业务。 陈立武也在年度报告中表示，将强化英特尔在云端AI数据中心市场的地位；有鉴于客户对更低成 本 、 更 高 效 能 运 算 的 显 著 需 求 ， 英 特 尔 必 须 开 发 具 竞 争 力 的 机 架 级 系 统 解 决 方 案 （ rack-scale system solutions），「这将会是我和团队的关键优先事项。」 参考链接 https://technews.tw/2025/04/22/lip-bu-tan-may-computex-taiwan/ 点这里加关注，锁定更多原创内容 美国芯片大厂英特尔（Intel）正逢多事之秋，新CEO陈立武3月上任后大刀阔斧改革，根据供应链 消息，英特尔将于5 月中旬于台北国际电脑展（COMPUTEX）开展前举办在台40周年晚宴，陈立 武也将亲自来台与供应链伙伴会面，固桩意味浓厚。 据了解，陈立武不会在5月20日至23日举行的 ...

人工智能（AI）技术的快速发展掀起了新一轮工业革命浪潮，通用大模型的出现让AI技术从专用化迈 向了通用化。而工业场景中，边缘AI（Edge AI）备受关注，并发挥着越来越重要的作用。 顾名思义，边缘AI计算就是指在边缘计算环境中实现人工智能的一种方法。相比于传统的云端AI，边 缘AI具有将计算和推断能力推向离数据源更接近的位置的优势，可以提供了更快速、更安全、更隐私 保护的数据处理和决策能力，使得人工智能能够更好地应用于各种边缘设备和应用场景中，亦更适合边 缘工业场景应用。 据Gartner预计，2025年将有75%的数据产生于数据中心和云之外，边缘计算不需要将数据传输回数据中 心，在应对超低延时和海量数据的挑战时具有明显优势，因此其重要性日益凸显。 作为仪器仪表领域的领军企业，华盛昌紧跟趋势，推出应用边缘AI计算技术的测量仪器仪表智能体 ——AI智能电弧故障检测解决方案，并于4月15日与德州仪器（TI）共同举办了该新品的联合发布会。 据了解，该产品通过应用边缘AI计算技术，在精准风险分层控制、全场景覆盖能力、系统可靠性及法 规兼容性等多方面均实现跃升，解决了传统逆变器无法应对的屋顶电站安全隐患，实现光伏与储 ...

【MoneyDJ】 驱动IC厂商联咏公告Q1营收为271.2亿新台币（约人民币60.31亿元），季增 7.3%、年增11%，符合先前法说会提及单季营收可望季增约7%的预期。 ▶ 关于集邦 而尽管接下来全球经济可能受到美国加征关税的影响，联咏仍将在Q2如期推出OLED TDDI（显 示触控整合驱动芯片）的新产品，未来也将持续卡位边缘AI所带来的各项装置商机。 图片来源：联咏 联咏看好边缘AI装置渗透率提升趋势，未来也将扩大投入机器视觉、智能居家等应用领域。 公司 并强调，其部分产品已具备先进制程量产能力，将随AI装置逐步落地进一步推升出货动能。 而针对关税后续对于联咏营运的影响，法人则指出，联咏作为IC设计公司，将持续聚焦灵活调整 产销配置，以确保出货稳定与供应链韧性。 上下滑动查看 ...

Market Overview - The main board saw significant gains with notable stocks such as Guanghe Technology (+10.01%), Huati Technology (+10.00%), and Xuguang Electronics (+10.00%) leading the charge [1] - The ChiNext board also performed well, with stocks like Fulede (+9.74%) and Jiebang Technology (+5.91%) showing strong increases [1] - The Sci-Tech Innovation board was led by Guoguang Electric (+18.90%) and Kesi Technology (+9.61%) [1] - Active sub-industries included SW Semiconductor Equipment (+2.44%) and SW Military Electronics III (+1.86%) [1] Domestic News - BYD reported strong growth in the new energy vehicle sector, with March 2025 production reaching 395,091 units, a year-on-year increase of 33.36%, and sales of 377,420 units, up 24.78% [1] - The China Economic Media Association held a meeting to discuss challenges facing private enterprises in the current economic climate [1] - The China Academy of Information and Communications Technology reported that the domestic smartphone market continued to grow, with total shipments reaching 19.662 million units in February 2025, a year-on-year increase of 37.9% [1] - The global semiconductor industry is expected to increase investment in wafer fabrication equipment, with spending projected to reach $110 billion in 2025, marking six consecutive years of growth [1] Company Announcements - Luxshare Precision reported a decrease in convertible bonds due to conversion, with a remaining balance of approximately 2.999 billion yuan as of March 31, 2025 [3] - Sanlipu's 2024 annual report showed total revenue of 2.590 billion yuan, a year-on-year increase of 25.25%, and a net profit of 68 million yuan, up 59.07% [3] - Tonglian Precision announced a share buyback of 909,527 shares, representing 0.5676% of total equity, with a total expenditure of approximately 18.894 million yuan [3] - Aohai Technology reported a total buyback of 1,793,300 shares, accounting for 0.65% of total equity as of March 31, 2025 [3] International News - Japan's Ministry of Economy, Trade and Industry announced additional funding of 80.25 billion yen to semiconductor manufacturer Rapidus, a key initiative for revitalizing the domestic semiconductor industry [4] - Intel's CEO announced plans to launch the Panther Lake processor based on 18A technology, focusing on building a product ecosystem for independent software developers and AI applications [4] - Rapidus plans to start trial production of 2nm chips in April 2025, with a goal for mass production by 2027 [4] - Reports regarding Google closing the Android Open Source Project (AOSP) were clarified, indicating adjustments in open-source strategies rather than a complete shutdown [4]

Core Insights - The Edge AI Foundation has rebranded from the TinyML Foundation and released the "2025 Edge AI Technology Report," highlighting the maturity and real-world applications of TinyML [1][3]. Group 1: Edge AI Technology Drivers - The report discusses advancements in hardware and software that support Edge AI deployment, focusing on innovations in dedicated processors and ultra-low power devices [3]. - Edge AI is transforming operational models across various industries by enabling real-time analysis and decision-making capabilities [3]. Group 2: Industry Applications of Edge AI - In the automotive sector, Edge AI enhances safety and response times, with examples like Waymo and NIO utilizing real-time data processing for improved performance [7][8]. - Manufacturing benefits from Edge AI through predictive maintenance, quality control, and process optimization, with reported reductions in maintenance costs by 30% and downtime by 45% [9][12]. - In healthcare, localized AI accelerates diagnostics and improves patient outcomes by analyzing medical data directly on devices [14]. - Retail operations are optimized through real-time behavior analysis and AI-driven systems, reducing checkout times by 30% [16]. - Logistics is enhanced by integrating Edge AI with IoT sensors, allowing for immediate analysis of data and optimization of supply chain operations [18]. - Smart agriculture utilizes Edge AI for precision farming, reducing water usage by 25% and pesticide use by 30% [21]. Group 3: Edge AI Ecosystem and Collaboration - The Edge AI ecosystem relies on collaboration among hardware vendors, software developers, cloud providers, and industry stakeholders to avoid fragmentation [24]. - A three-layer architecture is recognized for Edge AI, distributing workloads across edge devices, edge servers, and cloud platforms [24][25]. - Cross-industry partnerships are increasing, with companies like Intel and Qualcomm collaborating to enhance Edge AI deployment [26][27]. Group 4: Emerging Trends in Edge AI - Five emerging trends are reshaping Edge AI, including federated learning, quantum neural networks, and neuromorphic computing [30]. - Federated learning is expected to enhance model adaptability and collaboration across industries, with a projected market value of nearly $300 million by 2030 [31]. - Quantum computing is set to redefine Edge AI capabilities, enabling faster decision-making and real-time processing [34][36]. - AI-driven AR/VR applications are evolving with Edge AI, allowing for real-time responses and improved energy efficiency [39]. - Neuromorphic computing is gaining traction for its energy efficiency and ability to handle complex tasks without cloud connectivity [41].

Arm 物联网业务线高级副总裁兼总经理 Paul Williamson 表示："以不起眼的门铃为例。"他补充 说，它从一个简单的蜂鸣器发展成为一个基本的摄像头查看器，现在又发展成为一个更智能的人工智 能驱动设备，能够确定它是否在检测人，甚至识别特定的个人。 如果您希望可以时常见面，欢迎标星收藏哦~ 来源：内容编译自theregister，谢谢。 Arm 预测 AI 推理很快就会无处不在。为了给设备提供所有神经网络处理所需的动力，该公司正在通 过首款针对边缘工作负载的 64 位 Armv9 CPU 内核增强其嵌入式平台。 软银旗下的英国芯片设计公司表示，人工智能发展正在迅速，并声称几年前网络边缘机器学习工作负 载要简单得多，专注于基本的降噪或异常检测。 为了解决这一问题，该处理器设计公司推出了Cortex-A320 CPU 内核，旨在与 Arm 的嵌入式神经处 理单元 (NPU) 加速器 Ethos-U85 搭配用于边缘 AI 片上系统 (SoC) 设计。它可以配置为四个内核的 集群，以扩展并满足各种性能需求。 据称，A320 是"最小的 Armv9 实现"，提供 AArch64 指令集，是一个相对简单的单发射 ...

Financial Data and Key Metrics Changes - Group revenue for the first half of 2024 reached RMB 1,740 million, representing a 21.4% increase year-on-year [6] - Generative AI revenue surged to RMB 1,050 million, accounting for 60% of total group revenue, up from 21% last year [12] - EBITDA loss reduced by 26.5% and overall loss decreased by 21.2% in the first half of 2024 [8][42] - Gross profit margin remained at 44%, consistent with the previous year [42] Business Line Data and Key Metrics Changes - Generative AI revenue increased by 256% year-on-year, becoming the primary driver of revenue growth [39] - Sensors revenue doubled to RMB 1,168 million, accounting for 10% of group revenue [12] - Traditional AI revenue was RMB 520 million, contributing 30% of group revenue, indicating a decline [40] Market Data and Key Metrics Changes - Overseas market revenue grew by 40% year-on-year, now accounting for 18% of total revenue [13][41] - The Chinese intelligent computing services market is projected to grow at a CAGR of over 50% for the next five years, reaching nearly RMB 200 billion by 2028 [21] Company Strategy and Development Direction - The company is focused on generative AI, leveraging deep synergies between large models and infrastructure to enhance model capabilities and reduce costs [7][39] - The strategic pivot towards generative AI has been more successful than anticipated, with significant growth in various sectors including intelligent hardware, electric vehicles, and finance [10][12] - The company aims to expand its operational computing power to 25,000 petabytes by the end of the year [19] Management Comments on Operating Environment and Future Outlook - Management expressed optimism about the generative AI market, highlighting its rapid growth and the need for companies to invest in large models [9][76] - The competitive landscape is described as fierce, with significant investments required to maintain competitiveness [8][39] - Management emphasized the importance of balancing long-term growth with short-term investments [8] Other Important Information - The company has deployed over 50,000 GPUs, with total computing power exceeding 20,000 petabytes, positioning it as a key player in the AI infrastructure market [18] - The SESNOVA large model series has shown significant improvements, with version 5.5 released in July 2024, enhancing capabilities and real-time interaction [24][25] Q&A Session Summary Question: What are the potential applications for edge AI in collaboration with smartphone manufacturers? - Management is optimistic about edge AI prospects, emphasizing the growth of the user base and the potential for new application models beyond smartphones, including IoT devices [52][54] Question: How is the company planning to scale computing power resources? - The company is focusing on improving operational efficiency while expanding computing power, adopting a strategic approach to maintain competitiveness [58][59] Question: What are the core capabilities of the next generation large model? - Management discussed the importance of reasoning and high-order data in enhancing model capabilities, emphasizing the need for better data and model architecture [63][66] Question: Which products or services predominantly contribute to the increase in generative AI revenue? - The company is focusing on the commercialization of its technological expertise in AI infrastructure and large models, which has led to significant growth in generative AI revenue [72][76] Question: What is the current progress in commercializing end-to-end algorithms in the autonomous driving sector? - The company is dedicated to a pure visual technology path for autonomous driving, leveraging its computational resources to support automakers in developing advanced driving technologies [81][84]