1. 神经技术人工智能(HNAI)带来的三部曲

1)HNAI通用本体 将人类的大脑输入输出和思维过程进行通用模型抽象,将会为后续的软件和硬件通用化和维护一致性奠定基础。最终不同软件公司可以在同一平台上植入不同的知识软件,使得机器人可以执行不同软件公司的知识软件,同时使得纯人脑神经数据知识贸易的在同一类行业中交换价值只有一次。

2)HNAI芯片

与目前的AI芯片相比,HNAI芯片是一种纯知识库管理芯片,运算量要比现有AI芯片小得多,他的关键在于高效的知识检索和调取,以及极快快速的知识调取。因此,中级芯片的制程工艺是满足要求的,但更高级的制程工艺将会产生更低的能耗和更小的体积,植入更小的空间内或者使用的时间更长。

3)HNAI的自然语言和图形化编程

HNAI通用本体,将产生一种类似Java的通用HNAI程序设计语言,由于HNAI对于人脑抽象和知识管理的优势。将产生一种基于人类自然语言和自然逻辑(图形化)表达的简单编程模式,使得人类更加关注于对于自身知识的表达。这样规避的繁琐的数学学习和严格的程序编程学习,将允许更多的门外汉转型至庞大的人脑神经技术知识编程的行业中。

2. 我们未来的两个重要的市场问题

1)人口密集资源稀少导致的亚洲的人工智能普及率不足,将在HNAI的自然语言编程和图形化编程下,迅速将富裕劳动力转移至人脑神经技术人工智能编程行业。将现有的市场迅速替代为HNAI自动化产品,迅速提高现有市场的人工智能普及率。我们的2亿快递和淘宝客服也许在不久的未来就可以成为HNAI程序员了,这样我们的退休年龄也就不用延长了。

2)利用沙漠、海洋和垃圾这类可持续发展的经济新市场,极速扩大市场规模,大规模推进人脑神经技术人工智能。

1. The trilogy brought by neurotechnology artificial intelligence (HNAI).

1)HNAI ontology Abstracting the human brain input and output and thought process into a general model will lay the foundation for subsequent software and hardware generalization and maintenance consistency. In the end, different software companies can implant different knowledge software on the same platform, so that robots can execute the knowledge software of different software companies, and at the same time, the pure human brain and neural data knowledge trade can only exchange value once in the same type of industry.

2) HNAI chip

Compared with the current AI chip, the HNAI chip is a pure knowledge base management chip, the amount of computing is much smaller than the existing AI chip, and its key lies in efficient knowledge retrieval and retrieval, as well as extremely fast and fast knowledge retrieval. Therefore, the process process of intermediate chips meets the requirements, but the more advanced process process will produce lower energy consumption and smaller volume, implant in a smaller space or use for a longer time.

3) Natural language and graphical programming of HNAI

The HNAI universal ontology will produce a general HNAI programming language similar to Java, due to the advantages of HNAI for human brain abstraction and knowledge management. A simple programming model based on human natural language and natural logic (graphic) expression will be produced, which will make human beings pay more attention to the expression of their own knowledge. This avoidance of cumbersome mathematical learning and rigorous programming learning will allow more laymen to transform into the huge industry of human brain neurotechnology knowledge programming.

2. Two important market issues for our future

1) The lack of artificial intelligence penetration in Asia due to dense population and scarce resources will quickly transfer wealthy labor to the artificial intelligence programming industry of human brain neurotechnology under HNAI’s natural language programming and graphical programming. Quickly replace the existing market with HNAI automation products, and rapidly increase the penetration rate of artificial intelligence in the existing market. Our 200 million express and Taobao customer service may be able to become HNAI programmers in the near future, so that our retirement age does not need to be extended.

2) Utilize new sustainable economic markets such as deserts, oceans and garbage to rapidly expand the market size and promote artificial intelligence in human brain neurotechnology on a large scale.

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张雅楠 zeyarna

作为世界首例公开人脑神经技术受害者(2020年至今),目前已经出现了社会局部实验性的管理研究结论;同时针对末日技术的人工智能和神经技术,如何化被动为主动,对己化灾难为机会,对社会化技术压制为技术繁荣,成为我在此开博客的目的。

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