AI IN CHINA

中国现在被广泛认为是第二大人工智能经济体，就人工智能公司的数量和人才库而言，仅次于美国。

China is now widely regarded as the second largest AI economy, behind the United States in terms of the number of AI companies and talent pool.

AI Covered Areas

集成智能系统：无人驾驶车辆、无人机、智能家居产品。

Integrated intelligent systems: driverless vehicles, drones, smart home products.

软件和硬件的智能整合：传感器、神经网络芯片、开源平台等。

Intelligent integration of software and hardware: sensors, neural network chips, open source platforms, etc.

智能制造和产业支持资源池、标准测试和知识产权服务平台、智能网络基础设施、网络安全等工业公共支持系统，改善人工智能发展环境。

中国人工智能生态系统的弱点：

积极的人工智能投资和资金似乎并没有分布在医疗保健等紧迫的行业。医疗保健是一个脆弱的职位。由于中国人口老龄化问题，政府必须在医疗保健方面投入更多资金。否则，政府将来会遇到更多的问题。

Aggressive AI investments and funding don’t seem to be distributed across pressing sectors like healthcare. Healthcare is a vulnerable position. Due to the aging Chinese population, the government must invest more in health care. Otherwise, the government will encounter more problems in the future.

人才缺失，宽松的数据隐私法规，这些宽松的法规似乎只在国内执行。中国在外国竞争方面更具侵略性。

Lack of talent, lax data privacy regulations, these lax regulations seem to be enforced only domestically. China is more aggressive in terms of foreign competition.

AI可以代替我们写程序吗？

人工智能是现在很火的技术，Alpha Go 在围棋上战胜了人类，无人驾驶也有了突破。另外，人工智能在软件工程领域，也有了一些应用和尝试，比如说微软开源了一个人工智能的项目叫Sketch2Code，可以把 UI 设计草图转成 HTML 代码，也就是一部分开发工作未来也许可以被人工智能替代了。

Artificial intelligence is a very hot technology now, Alpha Go has defeated humans in Go, and unmanned driving has also made a breakthrough. In addition, artificial intelligence in the field of software engineering, there are also some applications and attempts, such as Microsoft open source an artificial intelligence project called Sketch2Code, which can convert UI design sketches into HTML code, that is, part of the development work may be replaced by artificial intelligence in the future.

AI中有一个很重要的技术，叫云计算。(cloud computing)

There is a very important technology in AI, called cloud computing.

如果你从软件工程的角度去看云计算，它本质上是在将那些与业务无关的，而又很重要的基础设施、技术，作为一种标准服务提供，让你在软件开发时，只需要专注于业务所独有的部分，从而可以极大地减少开发工作，提升开发效率。界面越来越复杂，而后端服务越来越强大，借助一些云服务，就能实现服务端 API 供前端调用，既简化了开发的难度同时又实现软件工程的标准化、模块化。云计算这样的基础服务，可以降低开发成本，让软件开发者可以专注于业务开发。

If you look at cloud computing from the perspective of software engineering, it is essentially providing those infrastructure and technologies that are not related to the business but are very important as a standard service, so that you only need to focus on the unique parts of the business when developing software, which can greatly reduce development work and improve development efficiency. The interface is becoming more and more complex, and the back-end services are becoming more and more powerful, with the help of some cloud services, the server-side API can be realized for front-end call, which not only simplifies the difficulty of development but also realizes the standardization and modularization of software engineering. Basic services such as cloud computing can reduce development costs and allow software developers to focus on business development.

未来构建软件系统，就好比现在的，建筑工程中各种建筑材料，工人需要用混凝土把建筑材料粘合在一起，软件开发中用的标准的模块，程序员需要写代码将这些模块组合在一起就可以完成复杂的结构。这种标准化的结构可以极大地降低建造成本。未来软件工程也能像建筑工程一样，用一些标准的模块和组件，也可以构建出复杂的软件。就能像盖房子一样，通过标准化降低开发成本和难度。

In the future, to build software systems, just like now, various building materials in construction projects, workers need to use concrete to bond building materials together, standard modules used in software development, programmers need to write code to combine these modules to complete complex structures. This standardized structure can greatly reduce construction costs. In the future, software engineering can also use some standard modules and components to build complex software like architectural engineering. It can be like building a house, and reduce the cost and difficulty of development through standardization.

此外，人工智能和自动化技术的发展，也逐步替代了原有的像手工测试、手工运维的工作。虽然在测试领域，虽然还没有见到有成功的用人工智能替代人工测试的案例，但是自动化测试替代了大量手工测试是一个可见的趋势。现阶段，这些应用只是一个开始，未来会有更多云服务、人工智能在软件工程领域的应用，会对软件开发的分工协作产生更多影响。

In addition, the development of artificial intelligence and automation technology has gradually replaced the original work such as manual testing and manual operation and maintenance. Although in the field of testing, although there have been no successful cases of replacing manual testing with artificial intelligence, it is a visible trend that automated testing has replaced a large number of manual tests. At this stage, these applications are just the beginning, and there will be more cloud services and artificial intelligence applications in the field of software engineering in the future, which will have more impact on the division of labor and cooperation in software development.

但云服务、人工智能再强大，也难以替代那些创造性的劳动，也就是那些你业务和项目所独有的东西，比如说你对业务的抽象和设计，测试用例的设计，对整个项目过程的组织，例如业务的设计和抽象，测试用例的设计和项目过程的组织，是不太可能会被替代的。

But no matter how powerful cloud services and artificial intelligence are, it is difficult to replace those creative labor, that is, those things that are unique to your business and project, such as your abstraction and design of the business, the design of test cases, the organization of the entire project process, such as business design and abstraction, the design of test cases and the organization of the project process, are unlikely to be replaced.

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AI IN CHINA

AI Covered Areas

中国人工智能生态系统的弱点：

AI可以代替我们写程序吗？

AI IN CHINA相关推荐

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