公众号记得加星标⭐️，第一时间看推送不会错过。 人们普遍认为，半导体产业主要由于劳动力和其他成本高昂而离开欧洲。然而，事实并非如此。真正 的原因是，半导体产业的发展需要巨额投资以及金融机构和大型企业的强力支持。以上世纪90年代的 德国为例，西门子投资兴建工厂，但规模太小。这最终导致其半导体业务分拆为英飞凌科技公司。 全球范围内情况也类似。如果我们回顾过去50年排名前三的DRAM制造商，会发现大约有30家公 司。然而，其中大多数要么已经退出内存市场，要么被收购，要么破产倒闭。仅有的例外是美光科 技、三星电子和SK海力士。不过，这三家公司中，有两家在过去都曾两次濒临破产。 并非这些公司大多因为缺乏必要技能而注定失败。从长远来看，它们面临的竞争环境与那些拥有政府 支持、深谙半导体重要性的公司截然不同。 在动荡的国际局势下，这是"最后的机会"。 半导体产业对全球经济的重要性如今已得到广泛认可。2022年爆发的供应链危机暴露了该行业对半导 体的严重依赖，当时仅仅少数半导体芯片的短缺就导致价值数百万美元的工业设备无法出货。为应对 危机，世界各国纷纷出台《芯片与科学法案》，鼓励在国内建设半导体工厂。 更重要的是，近年来地缘 ...

Core Insights - Storage technology is essential for modern computing systems, evolving from basic data storage to advanced applications like in-memory computing, which enhances efficiency by reducing data transfer between processors and memory [1][3] - Emerging non-volatile memory (eNVM) technologies, such as ReRAM, MRAM, FeRAM, and PCM, are promising alternatives to traditional volatile memory, maintaining data integrity even when power is lost [3][4] - The transition from traditional digital computing to brain-inspired computing is driven by the need for more efficient architectures that can handle the demands of AI and ML applications [25][28] Group 1: Emerging Storage Technologies - eNVMs are capable of retaining data without power, unlike traditional RAM, and include various architectures that are being explored for their potential in AI and ML [3][4] - The development of new materials and device architectures is crucial for advancing eNVMs, with a focus on overcoming challenges related to performance and scalability [3][10] - The integration of two-dimensional materials in storage devices is expected to revolutionize the field, offering high density and low power consumption [11][21] Group 2: Non-Volatile Memory in Post-CMOS Era - Non-volatile memory is seen as a key player in the post-CMOS microelectronics era, addressing the limitations of the von Neumann architecture and enabling new computing paradigms [5][8] - The current landscape of non-volatile memory research dates back to the 1960s, with significant advancements made in recent years, particularly in flash memory technology [5][8] - The future of non-volatile memory includes a focus on flexible and wearable electronics, driven by the demand for devices that can withstand mechanical stress while retaining data [15][16] Group 3: Challenges and Opportunities - The transition to brain-inspired computing architectures presents both opportunities and challenges, particularly in terms of energy efficiency and system performance [25][28] - Key challenges include material synthesis, manufacturing precision, and the integration of new storage technologies with existing CMOS processes [19][20][22] - Addressing these challenges is essential for the advancement of storage technologies, which are critical for the future of computing, AI, and advanced sensing applications [29][30]