In the next generation AI development, 301.8 billion in the development · · What AI is developed?

A sixth-generation boxer is a conceptualized class of jet boxer airplane style much more innovative than the fifth-generation jet fighters that are presently in solution and development. Numerous countries have introduced the development of a sixth-generation aircraft program, including China, Japan, the United States, the United Kingdom, France, Italy, Sweden, Germany, Spain, Russia and India. The United States Flying Force (USAF) and also United States Navy (USN) are expected to field their first sixth-generation fighters in the 2030 duration. The USAF is going after growth as well as acquisition of a sixth-generation boxer through the Penetrating Counter Air program to replace its existing air supremacy fighters such as the McDonnell Douglas F-15 platforms as well as the Lockheed Martin F-22 Raptor. The USN is seeking a comparable program called the Following Generation Air Prominence, similarly meant to enhance the smaller sized Lockheed F-35 and also change its existing airplane such as the Boeing F/A -18 E/F Super Hornet.

Each country around the world is a hot competition to advance artificial intelligence (AI) technology and market. The world s strongest AI Country, the United States, the Senate passed the Endless Frontier Act for the next five years for new technologies in the future. This is a bout in both internships that the United States will continue to lead the World Technology Founding in the United States. China is the same as the United States and Jewoung. British Sink Tank UK Tech Porcehip According to the Chain Jobs, China has been ranked second in China after five years from 2015 to 2019, in AI investment in AI.

What about our country? The Minister of Im Im Hye Sook and the Ministry of Embryo, the Ministry of Arts and the Ministry of Arts, the Corporation and the Government must combine power and wisdom to meet the competition of the artificial intelligence, As the US and China s technology in China, which surround the artificial intelligence, the competition is intensified as it is called as the new Cold War. MS, astronomical investment, MS, and a challenge factor in competing with Global Big Tech companies such as Google I have said.

Artificial intelligence source technology is absolutely dominant to the United States and China. There are several countries, such as Japan and Europe. According to the Korea ICT R & D (R & D), according to the Information and Communication Planning Evaluation (IITP), the world s first AI sake is 100 points, the Korea is a little over 80 points.

According to the Industry and Authority, in the 20th, the development of the AI ​​power of AI in 2019 is the development of the next generation artificial intelligence core system technology to promote AI source technology. It is an appropriate that it will take the following generation AI source technology with human level communication, cognition, sympathy, and behavioral skills, applying to industrial sites, and attracting businesses and industry competitiveness. AI, AI, common sense based AI, etc., which require less explanatory AI and data, are developed.

This project, which is promoted in the name of the next generation artificial intelligence core technology for the AI ​​powerhouse, and this project is planned for 8 months since December 199, 2019, the end of the year (Yeta), which is the end of the April, the final passage, and in earnest. From next year to 2026, we put a total of W301.8bn for 5 years. Dual flags are W265.5bn.

In the original business, the scale was around 9 trillion won, but due to the empirical business, the empirical business fell to W300bn. Compared to other source technology R & D, it is a big scale, but compared to astronomical amounts that are poured into the United States and China.

The next generation AI is to overcome the limits of AI, and ultimately aims to intellect human-level intelligence. For example, the present AI does not require too many data, and do not explain why I decided on what decisions. Already amazon, Google, and Apple, Global Big Tech companies are committed to overcoming AI limit technology.

In particular, the development of next-generation AI technology, which is promoted by the orthodox part, focuses on enhancing learning ability and utilization. Specifically, 147.5 billion won is 147.5 billion won for 5 years from next year to the development of learning ability (22 challenges) to 145.3 billion won for 5 years from next year to improve efficiency (13).

We will overcome the limits of artificial intelligence technology that can not be solved by deepering only to improve the learning ability and utilization of current artificial intelligence. The Occhartential Department is about the current artificial intelligence limit ▲ High data dependence ▲ Difficulty in real time and persistence ▲ Difficult to learn the low description of the decision-making process.

The Learning Ability Improvement AI , which promotes the total 22 challenges, is efficiently learning, easy to expand other fields, and continuously growing AI development is focusing. To do this, ▲ efficiency AI (self-directed, meta-learning, reinforced learning) ▲ scope expansion AI (knowledge based reasoning, common sense based reasoning, real world change) ▲ sustained growth AI (learning capacity diagnosis and improvement, lifelong learning) Development is pursued in three areas. Dual Magnetic Map Learning AI is for a small amount of data learning with AI that creates and verifies and compensate for data that is secured without prior notes. The knowledge-based reasoning AI also learns and deducts the concepts and causal relationships in the learned knowledge AI, and the common sense-based inference AI is AI to be inferred using real-class common sense that is not required to learn.

The utilization improvement AI , which is divided into 13 challenges, is trusted, and AI development that communicates with humans is core. ▲ Reliable AI (AI, Fair AI) and AI (AI) that communicate with (AI (AI, collaboration between complex conversations, agents, collaboration between agents, and sympathetic AI), is divided into two fields.