型号:1336F-BRF15-AA-EN
品牌:A-B
数字经济的发展是一个系统工程,在全球关于数字技术和数字经济制高点的竞争过程中,与基础、制造相关的技术、设备、知识产权和标准体系将日趋重要,甚至具有决定性的作用,原因主要有以下两点:首先,应用场景的多样化和规模化,可以为催生多样的应用技术提供强大的需求拉力,从而引致创新,但在全球分工网络中,基础层的知识产权仍具有控制甚至收获更高附加值的能力,脱离了基础技术,应用技术不仅走不远,而且走不稳。其次,便捷、快速、多样化的消费互联网产业,不仅建立在数据、算法和软件基础上,也建立在存储、芯片、传感等硬件基础上。互联网四大定律中,就有两大定律旨在揭示和强调软件和硬件的“互激式增长”关系。比如,安迪比尔定律指出,基于IT硬件产品上的应用功能越来越强大,同时对硬件性能要求也会越来越高;吉尔德定律指出,主干网的带宽每6个月增长一倍,12个月增长两倍,其增长速度是摩尔定律预测的CPU增长速度的3倍,这体现了数据体量和数据基础设施之间的互激式增长。随着人工智能的发展,传统的摩尔定律正在向着黄氏定律转化,即针对专门任务进行计算的专业芯片推动AI性能实现逐年翻倍,如谷歌的人工智能TPU、英伟达的图形处理器等,这些底层核心部件的发展正在成为决定人工智能发展的关键因素。
The development of digital economy is a systematic project.In the global competition process about digital technology and the commanding heights of digital economy,technologies,equipment,intellectual property rights and standard systems related to foundation and manufacturing will become increasingly important,and even decisive.The main reasons are as follows:First,the diversification and scale of application scenarios can provide a strong demand pull for the emergence of diverse application technologies,This has led to innovation.However,in the global division of labor network,the intellectual property rights of the basic layer still have the ability to control or even harvest higher added value.Without basic technology,the application of technology can not go far,but also go unsteadily.Secondly,the convenient,fast and diversified consumer Internet industry is not only based on data,algorithms and software,but also on hardware such as storage,chips and sensors.Among the four laws of the Internet,two are designed to reveal and emphasize the”mutually exciting growth”relationship between software and hardware.For example,Andy Beer’s Law points out that the application functions based on IT hardware products are becoming more and more powerful,and the requirements for hardware performance will be higher and higher;Gilde’s Law points out that the bandwidth of the backbone network doubles every six months and doubles every 12 months,with the growth rate being three times the CPU growth rate predicted by Moore’s Law,which reflects the mutual growth between the data volume and the data infrastructure.With the development of AI,the traditional Moore’s Law is being transformed into Huang’s Law,that is,the professional chips for computing special tasks drive AI performance to double year by year,such as Google’s AI TPU,Nvidia’s graphics processor,etc.The development of these underlying core components is becoming the key factor determining the development of AI.
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