Artificial Intelligence in Smart Home Applications! How much do you know?

Understanding artificial intelligence

Artificial Intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. This is a very challenging science. Those who do this work must understand computer knowledge, psychology, and philosophy. If we use a phrase to describe "artificial intelligence", it is that "artificial intelligence is a simulation of the information process of human consciousness and thinking. It is not human intelligence, but it can be thought of as human beings, and it may also exceed human intelligence."

Or studies can be traced back to the early 1950s and 1960s. In the summer of 1956, a group of visionary young scientists headed by McCarthy, Minsky, Rochester and Shennong gathered together to study and discuss a series of related issues involving machine simulation of intelligence and proposed for the first time. The term "artificial intelligence" marks the official birth of the "artificial intelligence" emerging discipline. IBM's "deep blue" computer defeated the human chess world champion is a perfect manifestation of artificial intelligence technology.

Artificial intelligence is a highly comprehensive research field with a broad and complex scope of research covering natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combinatorial scheduling problems, perceptual problems, pattern recognition, Logical program design A series of branch studies such as soft computing, inaccurate and uncertain management, artificial life, neural networks, complex systems, and genetic algorithms. Below we will make in-depth analysis of language learning and human thinking.

1. Language learning and processing

In this field, we mainly study the computer-simulated human language interaction process, let the computer 'understand' human language, and realize human and computer communication on the basis of natural language understanding. The earliest such research can be traced back to the early 1960s. At present, the understanding of natural language is mainly divided into two aspects: speech understanding and written understanding.

On the one hand, let the computer "understand" the human language, and then make a written or voice response. In this process, not only is the computer required to master the various backgrounds and extended knowledge of natural language, but it also needs certain reasoning abilities. On the other hand, the computer "reads" word symbols. This is the optical character recognition technology currently used in scanners and other devices. Of course, it will take a long time for the computer not only to recognize the written text but also to understand the text sign and respond accordingly.

2. Thinking of people

At present, people's thinking simulations can be carried out on two paths. First, structural simulations are based on the structural mechanism of the human brain to create a "human-like brain" machine; and second, functional simulations, which temporarily open the internal structure of the human brain, and from Its functional process is simulated. The generation of modern electronic computers is a simulation of the human brain's thinking function and a simulation of the information process of human brain thinking. Weak artificial intelligence continues to develop rapidly. In particular, after the economic crisis in 2008, the United States, Japan, and Europe hoped to reindustrialize robots. Industrial robots developed at a faster pace than ever, driving weaker artificial intelligence and related issues. With the constant breakthrough of the field industry, many tasks that must be done by people can now be realized with robots. While strong artificial intelligence is temporarily in a bottleneck, it also requires the efforts of scientists and humans.

Application in smart home

From the emergence of the world's oldest chatbot, Pq Erbert, in the 1980s, to the emergence of small robots in QQ and MSN, and to a third of 12 strangers in 2008 to believe that it is a human. The computer program was released, and then the application of intelligent speech recognition to Siri, to Google’s driverless car, people’s exploration and application of artificial intelligence has never stopped.To solve the application of artificial intelligence in smart home, we First, analyze the three stages of the development of artificial intelligence technology.

The first phase is computational intelligence, which is based on some of the computer's powerful storage and computational resources to simulate some human behavior on certain tasks. The second stage is perception intelligence, which allows the computer to simulate various human senses so that the computer can truly hear and speak and listen and see. This includes speech recognition, image recognition, and auto-driving cars based on computer vision. . The third stage is the understanding of intelligence. In addition to covering all the technical functions of the above two stages, it also includes the organization, arrangement, flexible use, and associative reasoning of computers for the realization of knowledge so that the machine can truly understand and think.

Based on these three phases, the application of artificial intelligence technology in smart homes is also divided into three phases. The first phase is the use of Internet technology to achieve home networking operations; the second phase is the realization of Internet of Things technology to achieve interoperability of home objects, home automation; the third stage is the real artificial intelligence stage, Full human-computer interaction between people and things, the machine can understand what people want to do, and perform what people want to do, the machine can fully serve us. The ultimate development of real smart homes must be a way to pass people's sensory feelings directly to home devices without using any terminal equipment, so that they can read the minds of people and realize a direct “dialogue” between home devices and the human brain.

At present, the development of smart homes is still in its infancy, but it is just automation and preliminary intelligence. This period of smart homes can only be said to be a physical combination of smart hardware and household products. In recent years, with the development of artificial intelligence, people have achieved some achievements in perceived intelligence, including face recognition, image recognition, and artificial neural networks. Through the computational model and the network structure generated by a large amount of data, the human perception system is effectively simulated, so that the machine can recognize various factors from the speech signal and identify different objects from the image. The emergence of Microsoft’s Xiao Bing is an attempt to explore the application of artificial intelligence. Although its function is still relatively unsophisticated, such research will further promote the development and application of artificial intelligence technology. The development of smart homes and the increase in market demand will certainly continue to promote the application of artificial intelligence in the development of smart homes to a higher level of evolution.