In this paper the development process of intelligent control at home and abroad is reviewed. The achievements of basic, academic and technological researches in China are summarized. The general situation of education, teaching and personnel training of intelligent control in China is discussed. The existing problems of intelligent control in China are addressed and the suggestions for intelligent control research and development in China are proposed as well.

This article analyses the developing trend of artificial intelligence at home and abroad, and discusses some urgent issues of artificial intelligence development in China through the six aspects, namely original innovation capacity, top-level planning and designing, basic software and hardware, technology platform, talent cultivation and introduction, and frontier research layout. Some relevant suggestions are also put forward, which are expected to offer advices to the China's artificial intelligence development in the fierce international competition.

The artificial intelligence chips (AI) chip is an important part of artificial intelligence technology. It is the hardware foundation of AI algorithm and the essential of the AI era. This paper analyzes the state of the art, characteristics, potential technical trends and marketing of AI chips, and forecasts the opportunities, challenges and future trends faced by AI chips.

Birds rely most heavily on their ability to assess their visual environment. The current research situation of vision of birds of prey is introduced and the characteristics of the photographic systems in different families of birds of prey are compared. First, the anatomy structure of the periphery is described, including the eyeball and lens, by which the basic differences between birds of prey and other avian are analyzed. Then the visual information processing pathway and the optic center are introduced and the special color perception, double fovea and unusual visual acuity of the birds of prey are elaborated. Finally, the current research methods, existing problems and future trends are discussed.

With the rapid development of multimedia technology and the Internet, privacy protection of multimedia data is facing more and more challenges. The widespread application of cloud computing and big data, on the other hand, has further exacerbated people's concerns about privacy security. However, multiparty computation, homomorphic cryptography, functional encryption and other cryptographic techniques have made possible the blind computation of data under ciphertext. In particular, visual blind computing is to detect, identify, search, and deal with data without touching their original contents such as images and videos. As a new direction in the combination of computer vision and cryptography, it has a wide range of applications in video monitor, multimedia data sharing, cloud computing, mobile computing and other fields. This paper reviews the development history of visual blind computing technology, summaries the key technologies for video monitor, face detection, face recognition, face retrieval, machine learning and so on, and looks into the development trend of visual blind computing technology.

Artificial intelligence (AI) has become a driving force for the new round of scientific and technological revolution and industrial transformation. The developed countries in the world have raised the research and development of artificial intelligence to the national strategic level, and issued their relevant strategies and policies in time. In this paper we try to analyze the AI policies of the United States, England, France, Germany, the European Union, and Japan. Then we talk about the AI situation in China. On the basis of the AI policies and related measures of developed countries, we propose some corresponding inspirations and suggestions for the policy implementation and development of AI in China.

We introduce the development and application background of deep learning and analyze the state-of-the-art deep learning technology in related domains. The key algorithms of deep learning and their related applications in the marine field are given from the aspects of marine data reconstruction, classification, and prediction. Furthermore, we also discuss the potential problems of the deep learning application in marine big data mining. The prospect of deep learning application is discussed in terms of optimizing the mechanism, strengthening information security and intensifying algorithm robustness.

Coronary heart disease is one of the most common cardiovascular diseases. In recent years, the incidence and mortality of coronary heart disease in China have increased year by year. Accurate diagnosis and timely treatment are the main measures to effectively reduce the mortality of coronary heart disease. With the help of the fuzzy system theory and by adding a fuzzy layer and fuzzy rule calculation layer to the structure of a traditional BP neural network, a T-S fuzzy neural network model is established in this paper. Using this model, the 297 data sets of coronary heart disease collected from the Cleveland Clinic are analyzed for diagnostic prediction. The average accuracy of the fuzzy neural network model reaches 82.93%, which is higher than 75.56%, the average accuracy of the traditional BP neural network in intelligent diagnosis of coronary heart disease.

Intelligent machine that combines artificial intelligence and robotic technology is expected to be a breakthrough in innovation and entrepreneurship. Intelligent machines will change people's lives in all areas such as intelligent manufacturing, military-civilian integration, medical rehabilitation, intelligent cars, smart homes, consumer entertainment and so on. At the same time, the integration of "Internet of Things + Big Terminal"is expected to have an important impact on China's science and technology and industrial transformation. The three key elements, i.e., the national policy power, the innovation power of knowledge, and the catalytic power of capital, will play important roles in the field of intelligent robotic innovation and entrepreneurship. Since the innovation and entrepreneurship of robotics and artificial intelligence and the application of its product are extremely important, it is necessary to clearly define the positioning and development goals for G (government), B (commercial company) and C (consumer), respectively.

Artificial intelligence is promoting education reform and innovation at an unprecedented speed, and the artificial intelligence education faces enormous opportunities and challenges. On the basis of reviewing the existing researches, this paper deeply explores the current problems of artificial intelligence education from the perspectives of education big data, artificial intelligence technology, teaching content, application scene, and faculty team. Finally, it discusses and prospects the future of the artificial intelligence education.