AI decision is not controlled？ Past lives who knows AI in one minute.
Artificial intelligence (AI) means that machines simulate human intelligent behavior by means of learning, reasoning and automation technology. The rise of AI industry originated from the field of computer science, and began to develop since 1950s, but the period of real rapid development was in recent years, especially after 2010. This paper will make a deep analysis of the AI industry from the perspectives of the development history of the AI industry, the upstream and downstream interpretation of the industrial chain, the analysis of key companies and people, and the analysis of industry hotspots.
First, the development process of AI industry
Since 1950, the AI industry has started research and experiments for decades, but it didn’t really enter the outbreak period until after 2010. In 2010, Watson of IBM was in Jeopardy! Beating two famous players in the game attracted global attention. Since then, AlphaGo has defeated the top players in the Go game, which proves the powerful ability of AI technology. In 2017, AlphaGo Zero developed by Google’s DeepMind company defeated the previous AlphaGo, showing a higher level of intelligence. In addition, with the progress of hardware technology, the application of AI industry has become more and more extensive, such as face recognition, autonomous driving, smart home and other fields, which has brought the development of AI industry into a new stage.
Second, the upstream and downstream interpretation of the industrial chain
The industrial chain of AI industry can be divided into three parts: hardware, algorithm and application. In terms of hardware, it mainly includes chips, sensors, servers and other equipment. The algorithm part is the core of AI technology, mainly including machine learning, deep learning, natural language processing and other technologies. The application part is the landing application of AI technology, involving artificial intelligence medical care, smart home, autonomous driving, smart city and other fields.
In the upstream of the industrial chain, chip manufacturers are an important part of the AI industry. At present, the world’s major AI chip manufacturers include Intel, NVIDIA, AMD, Broadcom and other companies. The chip products of these companies can be used in cloud computing, Internet of Things and other scenarios. In the middle reaches, AI algorithm companies are key players, such as Baidu, Google, IBM, Microsoft and other companies have their own AI algorithm research teams. In addition, there are some AI companies that focus on a certain field, such as artificial intelligence medical companies. Downstream, AI application companies are the main components of the AI industry chain, including artificial intelligence medical care, smart home, autonomous driving and other companies. These companies have applied AI technology to actual scenes, which has brought great commercial value.
Third, the analysis of key companies and people
In the AI industry, some key companies and figures have attracted much attention. Among them, Google and Facebook are considered as leading companies in the AI field. Google has strong strength in artificial intelligence research. Through its AI subsidiary DeepMind, Google has made many achievements in the fields of AlphaGo and AlphaZero. Facebook, on the other hand, has shown great strength in the fields of face recognition and speech recognition. By acquiring companies such as Face.com and Wit.ai, Facebook has made many attempts in the field of AI.
In addition, Andrew Ng is considered as one of the important figures in the field of artificial intelligence. He was the leader of Google’s artificial intelligence team and played an important role in some AI projects of Google. Later, he joined Baidu and founded Baidu’s Artificial Intelligence Research Institute, transforming Baidu from a traditional search engine company into an AI company.
Fourth, analysis of industry hotspots
The hot issues in the AI industry mainly involve technology, safety and ethics. In terms of technology, the development of artificial intelligence still faces some challenges, such as how to improve the efficiency of machine learning and how to deal with the problem of data scale. In terms of security, the black box problem of AI has always been concerned, that is, the decision-making process of AI model is opaque and difficult to explain. Ethical issues are also an important topic in the AI industry, such as how to ensure that the development of artificial intelligence is in line with the interests of mankind, how to avoid the negative impact of AI on society, and so on.
In addition, autonomous driving is also an important hot spot in the AI industry. Autopilot technology has a wide application prospect in automobile, logistics and other fields. However, the realization of autonomous driving technology still faces many technical challenges, such as how to deal with complex traffic environment and how to ensure the safety of vehicles.
In short, with the continuous development of AI technology, the prospect of artificial intelligence industry is very broad. At the same time, the development of AI technology also needs the joint efforts of society to ensure that the application of AI is in line with the interests of mankind and avoid negative impacts on society.