Shulou(Shulou.com)06/02 Report--

This article comes from Lu Qi's speech, and we have selected the essence of it.

What is knowledge

Feature representation (feature representation) that can be used to solve problems. Human language or graph is only a form of expression of knowledge. The feature representation learned by AI model is also knowledge, as long as it can solve the problem. The ability to acquire knowledge is the core of AI technology.

What is an intelligent system

Both biological and abiotic intelligence systems must contain three elements: observation system, intelligence system and activity system. The observation system collects data. Intellectual systems use data to generate knowledge. The activity system uses the acquired knowledge to achieve the goal.

Third, the essence of intelligence

It is the general ability to acquire knowledge and use knowledge to achieve the goal.

IV. The Historical significance of AI

1. For the first time, non-human systems that can create knowledge have emerged.

two。 Therefore, the creation of knowledge will be accelerated, leading to a complete rewrite in the fields of science and technology, society and economy.

V. the development direction of AI

1. A more natural way of human-computer interaction. The human-computer interaction revolution in history includes mouse and touchscreen mobile phone.

two。 The more powerful backend is driven by AI's thirst for computing power and data.

3. Be able to define the experience of a new era. This will be done based on the first two points. Historical examples include iphone, win95, and browsers.

4. The full digitization of the physical world. Partial digitization in history includes IBM to the desktop, Microsoft to the enterprise information system, and Apple to the digitization of human social interaction and transactions. AI will digitize the whole physical world, and all objects, tools, vehicles and places will be intelligent and digital.

VI. Innovation opportunities brought about by AI

In history, humans have invented local general-purpose capabilities, such as livestock, words, steam engines, trains, computers, airplanes and so on. AI is now the most versatile capability of new inventions, because AI is the ability to create knowledge and solve problems. Knowledge is power, so this most versatile ability brings unprecedented opportunities.

AI-driven innovation must follow the following pattern:

1. Find an imperfect application scenario.

two。 Ask the question: what knowledge is needed to improve this application scenario? Opportunity: sensor.

3. To extract this knowledge. Opportunities: software, hardware, algorithms.

4. Apply the acquired knowledge to improve the scene. Opportunity: business model.

5. Continue to collect data from the modified scene and repeat 1-4 to form a closed loop.

VII. The revolution that AI may bring

1. New information industry: AI needs sensors with computing power and high-dimensional parallel processing that the von Neumann system is not capable of. These requirements will drive the entire information industry to rewrite from soft to hard.

two。 The birth of new industries (smart objects, robots, automatic cars and ships, smart places) and the transformation of all old industries.

8. How to promote innovation in the field of AI

1. To occupy financial capital, talent capital, data capital. Among them, data capital is a new element that is different from the previous revolution.

two。 A friendly policy environment and infrastructure support are needed. 3. Must be market-oriented.

IX. AI Venture Challenge

data! In the past, all the software needed to start a business was open source. The data needed by AI to start a business is almost an insurmountable threshold.

This article is reproduced from Robo.com, the copyright of the content belongs to the original author, link: https://www.roboticschina.com/news/2779.html

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