"Artificial Intelligence" concept was first presented in 1956 at the Dartmouth meeting, to now have 60 years of development. Artificial intelligence is a cross, a wide range of science, its purpose is to enable the machine to recognize, like humans, learning, thinking. With the rapid development of Internet technology, artificial intelligence technology innovation, applications continue to expand.

Artificial intelligence development ups and downs, with some success, such as machine theorem proving and other early in their development, these results motivate people to have higher expectations for the field of artificial intelligence, but due to the limitations of the theory and technology, people made some unreasonable Research objectives failure, machine translation sudden, people make jokes is expected to fall. In the 1970s early 1980s, the expert system to solve a specific problem by simulating human expert knowledge and experience in the application of chemical, medical and other fields, to achieve a major breakthrough in artificial intelligence from theory to practical application; followed by artificial intelligence ushered in the development of technology downturn, lack of expert system knowledge base, single analyze problems and other issues exposed; in 1997, Deep blue computer beat the world chess champion Garry Kasparov; since 2011, with big data, cloud computing , networking and other rapid development, artificial intelligence neural network-based greatly promoted the science into applications, image recognition, voice recognition, and other unmanned usher in an unprecedented surge of development. Artificial intelligence techniques to learn a lot of depth based on human intervention has limitations, researchers are trying to use autonomous intelligent way to reduce human intervention to reduce personnel costs, future intelligent man-machine mix will become the main direction of development.

2017-07, the State Council issued the "new generation of artificial intelligence development plan" for the world of artificial intelligence seize the high ground, China has risen to its national strategy, the State Department request for additional AI-related courses from primary school onwards, the formation of echelon personnel, seize Artificial Intelligence development opportunities will have significant impact on technological development and industrial change.

First, the main research areas of artificial intelligence

1.1 Natural Language Processing

Human language is different from other animals essential characteristics of human intelligence mostly in real language are documented or spread, natural language processing is an important branch of artificial intelligence, including natural language understanding and natural language generation, its aim is to achieve natural language communication inside the computer, converts the natural language input with a potential ambiguity between the man-machine into a certain unambiguous representation. We want to achieve universal, high-quality natural language processing is the ultimate goal of mankind. Although this study has produced a practical application for certain systems, it has been part of the enterprise, and even began the industrialization, but the main problem facing the natural language processing is still less than the meaning in conjunction with the context, prone to ambiguity.

1.2 Computer Vision

Computer vision is the study of the direction of the machine to "see" the science, target identification and tracking using the camera and computer simulations of biological eye, the perception of the system from an image or multidimensional data and access to information. Currently computer vision technology package includes image recognition, image processing, spatial shape description that the broad field of computer vision technology, face recognition, fingerprint recognition, iris recognition access control accurate and reliable in the recognition, identification and other aspects of research in this direction is very earth promoted the development of the manufacturing sector.

1.3 depth study

Artificial intelligence and database technology has the ability to learn the depth of standardization; several sub-field of artificial intelligence techniques include machine learning, learning representative, deep learning, supervised learning is the most successful machine learning algorithm, causes the output section of the smallest error of. Depth learning algorithm is designed to use a computer, a neural network simulation analysis of the human brain to learn, to acquire knowledge and skills, reorganizing the knowledge structure so as to continuously improve their performance. Deep learning can be applied in all directions study of artificial intelligence technologies, such as intelligent search depth based learning can not only comprehensive survey of the literature of the importance and relevance of indicators can also sort the search results, improve retrieval efficiency; in addition to provide users with interest in automatic identification, intelligent information filtering and other functions, such as the browser, "in addition to these, you may also like that", the shopping site "try these screening" "you might like." Deep learning algorithms have made a lot of achievements in computer vision, speech recognition, machine translation, data mining and other fields.

Second, AI is currently the most widely used

Artificial intelligence is an interdisciplinary, is an interdisciplinary, development of artificial intelligence technology including computers, mathematics, psychology, sociology and many other disciplines. Artificial intelligence has developed rapidly in recent years, in the fields of health care, education and entertainment industries, manufacturing and services most widely used, the following illustrates the application of artificial intelligence techniques in the related fields.

2.1 Application of Artificial Intelligence in the health service

News reports have mentioned China's artificial intelligence defeated physicians in the diagnosis of brain tumors; artificial intelligence techniques to monitor Parkinson's disease and multiple sclerosis (MS) and other diseases; more than the experts found skin cancer; more than experts accurately, quickly found a brain tumor and other diseases, to curb excessive drug crisis through data analysis; researchers have mastered the use of chemical interaction of knowledge, and the results of animal experiments to obtain the same result by artificial intelligence algorithms to detect this study possible future replace animal experiments to predict the toxicity of tens of thousands of chemicals. Artificial intelligence development of related technologies, to the medical industry has brought unprecedented hope dawn.

2.2 Application of Artificial Intelligence in primary health care services in

Artificial intelligence technology update in primary health care in developed rapidly, Zhao Jiaying, etc. [2] proposed artificial intelligence technology to diagnose a patient has been prepared in accordance with good computer diagnostic procedures, treatment recommendations based on the patient's symptoms, when the program can not meet when the diagnosis of incurable diseases, artificial intelligence technology using the existing data are given referral advice to help the patient to a specialist for treatment there. Specialist medical information can be fed back to the relevant equipment and artificial intelligence algorithms, artificial intelligence devices increase the case information for later diagnosis of the patient encounter similar diseases. After the artificial intelligence technology can also be given in a specialist treatment program for patients to recover observation and management of late. Grassroots health system undoubtedly will bring China leap progress of primary health care services.

2.3 Application of artificial intelligence technology in the field of nursing

Pan Cheng pointed out that the application of artificial intelligence techniques in the field of nursing care is mainly reflected in the diet, chronic care, intelligent ward, diet care, disability, the elderly and sick elderly with an aging population, more and more, by providing interactive system human-computer interaction and support services to help older people to eat food; with the increase of China's population of chronic disease, patients with chronic care needs for greater use of indicator data related to changes in technology to monitor patients with artificial intelligence to help patients enhance self-management, improve quality of life; intelligent ward relying on natural language technology and cognitive computing, you can control the room temperature, lighting, etc. by speaking. The artificial intelligence technology in the field of nursing, patient treatment can be completed before the health assessment, good protection for the latter part of treatment and care, while reducing nurses handwritten notes, improve care efficiency, reduce the burden of care. Not only that, the scientific data can also provide a more optimized care programs, early detection and early treatment of the patient, through intelligent monitoring data and protect people's lives and safety.

2.4 Application of Artificial Intelligence in cardiac magnetic resonance imaging

Artificial intelligence technology has been well received in a wide range of applications in the medical field, which play an important role in its greater difficulty studies have a great relationship. Since the development of artificial intelligence technologies, and automation have been selected for acquisition and reconstruction of cardiac magnetic resonance imaging procedure, the imaging program, image. Cardiac magnetic resonance imaging may be used for ventricular function, perfusion, blood flow measurements, tissue properties, highly consistent data set based on the result parameters obtained expert manual measurements of left ventricular function automatic learning depth obtained, since studies have shown that cardiac magnetic resonance imaging compared with single photon emission computed tomography compared with higher spatial resolution, higher accuracy of diagnosis. Depth learning algorithms typically convolution neural network model and recurrent neural network, currently in the field of pattern recognition is widely used, usually in combination with the depth of the neural network. By deep learning algorithms, cardiac magnetic resonance imaging technology to help analyze data associated with the result, it is possible to predict the probability of events. Standardized indicators related research will greatly promote the development of cardiac magnetic resonance imaging image analysis algorithms.

Not only that, artificial intelligence technology is still medical robotics, drug discovery, medical imaging, gene sequencing, health management, there have been a breakthrough.

2.5 Application of artificial intelligence techniques in the field of education and entertainment

The rapid development of Internet technology, breaking the limitations of past paper version of the spread, with the development of artificial intelligence, intelligent search that appears, intelligent learning mode in changing the way people acquire knowledge, intelligence education but also for the cultural and educational sectors bring new business models and the industry chain.

The following examples illustrate application of artificial intelligence techniques in the field of education and entertainment.

2.6 Application of Artificial Intelligence in Education industry

AI-related technology has been applied in the education sector, China to work with artificial intelligence to score, to judge writing using natural language processing technology has been widely used in teaching, such as writing in English can guarantee judge in the vocabulary, grammar uniform evaluation criteria, but there are too mechanical evaluation of defects, so that students score gap is not too great; in English teaching, artificial intelligence can match the speaking practice for students based on student data and the actual level situation, and accompany students to practice speaking; in nursing education, artificial intelligence technology to provide more personalized, user-friendly learning environment for the students' interest, real needs and learning habits develop appropriate individualized learning plan, and students in real-time follow-up and evaluation, designed to make a more objective evaluation of the student, artificial intelligence technology can also obtain the relationship student learning conditions and external conditions under data mining in order to estimate trends study for the "personal Tailor" based on big data technology personalized tutorial, it is undeniable that indeed Teaching play a supporting role.

2.7 Application of artificial intelligence in the publishing industry

Fifi Wu proposed that in the era of artificial intelligence "Everything media" artificial intelligence technology in the publishing industry has also been applied, the use of Big Data technologies, artificial intelligence for news content production, book editor, user demand generation, marketing decisions and other topics have a positive impact. Artificial intelligence can be carried out after data collection data analysis, designed to convey the content, write a simple press release; the use of big data analytics, grab the reader's attention to hot spots, where the reader's interest analysis, to provide individualized reading for readers program; marketers can make more targeted marketing programs based on data analysis.

2.8 Application of Artificial Intelligence Technology in Library

China has carried Library Library building wisdom, intelligence and intelligent retrieval technology consulting reference for the two most widely used technology, Yang Jiulong, who pointed out that intelligent search can provide information of interest to users retrieve information based on user history or forecast hotspot information, improve the success rate of retrieval; intelligent chat reference service is mainly reflected in the intelligent, real-time to provide consulting services. Artificial intelligence technology to lay the foundation for the construction of a modern intelligent application library in the library. Page technology, Microsoft launched artificial intelligence web design tool that can convert hand-drawn page model as functional HTML tags, rather than relying on an application made servile response to explicit instructions.

2.9 Application of artificial intelligence techniques in manufacturing and service industries

AI techniques are applied to the manufacturing and service industries, is changing the way people work and lifestyle, machine work greatly liberated the labor force, the intelligent machine is the outcome for the manufacturing and services industries, industrial quality provide more reliable protection.

The following examples illustrate the application of artificial intelligence techniques in manufacturing and service industries.

1.10 Application of artificial intelligence techniques in the textile industry

According Gaoming Jiang et al., Using the depth learning algorithm retrieved quickly and accurately consistent with the physical map pattern database product, the online Fabric Inspection, artificial intelligence techniques based on machine vision technology to play a significant role , this technology has the speed, and high positioning accuracy, wide coverage defect type, mechanical wear and tear and lower maintenance cost advantages; decision tree algorithm to identify the relationship between factors of production and product quality, build a reasonable quality of decision-making model improve production quality. Artificial intelligence technology not only helps to knit the production process, but also in production management also improves the efficiency of the industry. Real-time monitoring of the quality, production reporting, order tracking and other artificial intelligence techniques can guide the production management on the basis of data analysis, based on actual raw materials and production capacity of enterprises reasonable production plans, in order to meet customer needs and respond to market competition . Moreover, the use of artificial neural networks can predict the future trends, promote the upgrading of the industry.

2.11 Application of artificial intelligence technology in the field of refining

Petrochemical enterprises in the manual inspection does not meet the requirements of the current inspection, the development of intelligent inspection robot can reduce the intensity of inspection, inspection to improve quality and reduce the risk of injury, due to the intensive refining business unit, developing inspection robot instead of doing so the great difficulty of inspection carried out, there are currently few applications, but they also have to try and applications.

Inspection robot should have the ability to move automatically or semiautomatically, field device status diagnostic capabilities, poisonous and explosive gas detection capability and alarm capabilities to meet the practical application of the above requirements, mainly of intelligence inspection robot navigation and control system, detecting sensor five parts systems, security systems, identification systems and real-time communication system components, which is the development trend of the future inspection robot. Once the inspection robot applications in the refining business, the efficiency of this area will increase substantially staff can engage in more elaborate inspection services to ensure the inspection work refining business in the state to achieve higher standards.

2.12 Application of Artificial Intelligence in the customer service system

Reno et al., Speech recognition, natural language processing, knowledge base management, speech synthesis technology is the key technology of the customer service system, the speech recognition processing by the signal, or even may produce multiple recognition result, the recognition result with confidence identity, according to the application to show customers the confidence to these results for the customer to choose the second; vector processing through a unique word and phrase match properly, can effectively deal with problems that can not find the responsible parties can not even processed, the universality of artificial intelligence techniques to deal with outstanding, highly repetitive work order processing session, can greatly improve efficiency, reduce labor costs. In voice services, although there are machines reply stiff, rigid problems, but it is undeniable artificial intelligence technology has broad application prospects in the customer service system.

2.13 Application of Artificial Intelligence in the banking sector

Application of Artificial Intelligence in various fields is the trend in recent years, many international and domestic financial institutions, the introduction of artificial intelligence technology for the development of the industry, such as the use of artificial intelligence technology, according to the actual situation of the investment objectives of investors, investment recommendation for investors intelligent planned investment adviser; non-contact face recognition technology greatly improved business processing speed, while avoiding contact with operations spread of diseases brought; intelligent self-service counters can handle all basic services, personalized service from the front desk, to the Taiwan's professional decision support, to welcome the lobby, business consulting, branch guiding service can achieve; intelligent risk control through big data technology to reduce financial risks; the establishment of intelligent unmanned bank, guided by intelligent robots to customers for each kind of business. The artificial intelligence technology used in the banking industry, for customers to improve the audit speed and reduce the waiting time and simplify complex processes.

2.14 Application of Artificial Intelligence in the cafeteria catering system

At present, schools, institutions in the use of robotics and artificial intelligence technology to automatically Dafan dominated cooking, use a robot cooking can be more precise control of the oil temperature to avoid overheating lead to deterioration of the oil, while the robot can precisely control the oil, add salt the amount, the more healthy food, but also avoids the situation where the robot operation fall into hair, sweat, etc., to ensure a more physical health. Dafan Auto appetite make more precise, to avoid human action leads to different appetite brought about dining psychological imbalance, poor dining experience. In addition, the Indian Railways has also to ensure food hygiene detected by artificial intelligence.

Third, the prospects for the development of artificial intelligence

At present, for discussion and study of artificial intelligence technology is very hot, based on the strength of artificial intelligence, will be divided into weak artificial intelligence, artificial intelligence and super-strong artificial intelligence, at this stage of human technology has reached a certain level, but still in a weak artificial intelligence era, every innovation is a weak artificial intelligence leading to the building blocks for ultra-strong artificial intelligence and artificial intelligence era era. China has a national strategy of development of artificial intelligence, so the government will invest more manpower and material resources to promote its development. Existing industry unprecedented changes have taken place with the support of artificial intelligence, reconstruction of the production of human life with science and technology, mankind has brought great convenience. Artificial intelligence technology will reshape the future as the basic elements of the various sectors, in-depth the various sectors, the development of artificial intelligence overwhelming, but some people can not accept more traditional changes brought by such technologies, people do not accept this technology will It is replaced by acceptance of this technology people.

Artificial intelligence replace some unfounded concerns about such human, artificial intelligence technology in the rapid development of the humanities really sparked discussion about ethics, but the technology will eventually replace the service of mankind rather than humans. As long as a clear development goals, identify the direction of development, and strive to establish a comprehensive system of social intelligence, rational use of the power of science, so that technical service of humanity, the desire of scientists and researchers will be achieved.

Fourth, the training objectives

Artificial Intelligence is committed to developing in line with the national strategy and artificial intelligence development needs of industry in Anhui Province, have good scientific information, statistics-based, computer systems knowledge and solid programming foundation, as well as a large data base of knowledge and skills, to master the core principles and AI AI thinking, able to skillfully use the data thinking, the qualified personnel AI models, tools, voice recognition, NLP, image processing and other technology to solve practical problems. After the graduates can be engaged in intelligent systems integration in the government departments or enterprises, intelligent software design and development, application of intelligent system management and operation and maintenance work.

1, artificial intelligence technology direction training objective

a) have better mathematics and physics, familiar with common statistical model, we have a deeper understanding of the common statistical models to understand the correspondence between the model and the problem to be solved;

b) to master the common data structures and algorithms, as a mature application data structures and algorithms ability to solve software problems;

c) proficiency in Python, Java, C / C ++ and so on more than one programming language, Python and other languages can be used to solve problems in scientific computing;

d) proficiency in database theory, skilled use T-SQL to solve the database query, modify, delete, and other common data manipulation, and other high-level language Python can be combined to complete the development of database-based application.

e) Familiar Big Data technologies can be used in conjunction with large data technology Spark Upon completion of storage and annotation data;

f) master model and its application commonly used machine learning neural network and depth;

g) able to skillfully use Caffe, Theano, Torch, Tensorflow any other mainstream deep learning framework design and development of intelligent application system;

Fifth, training mode and Features

1, a "three-stage" + "sandwich" training mode trimester system +

In order to cultivate applied talents in line with business needs, improve students' analysis, problem solving and hands-on practice, specializing in artificial intelligence, a "three-stage" training mode, that is, 2 + 1 + 1 mezzanine mode. The first stage is to cultivate a professional mathematical foundation and core courses, the stage of strengthening and broadening mathematics and physics, lay a solid foundation for their post-professional learning; the second stage of professional orientation and training courses and project development training, the students stage Advanced capabilities from basic skills training to project development, and finally the ability to post literacy training, a gradual transition from the basics to the ability of software applications the ability to last post professional ability. The third stage is the internship and graduation project, at this stage each student to complete at least six months or more counterparts internship experience through internships so that students as early as possible into the social enterprise culture among the real-life experience of enterprise job requirements, as soon as possible establish career planning, work to prepare for the job.

Obey trimester system, fall and spring semester main course arrangements, arrangements for the summer semester mainly applied curriculum, teaching project to explore enterprise system operating mode, and enhance students' practical skills. Summer semester generally consists of two-division team based enterprises for teaching, so that students feel the company as soon as possible operating modes and rhythms.

2, professional characteristics

Artificial Intelligence to the needs of industry and job-oriented ability to constructivism curriculum and teaching resources to rebuild the system of industry-oriented applications, Internet technology and means of information in line with the establishment of teaching cognitive apprenticeship model as the basis, the establishment of assessment mechanism for the application ability, to achieve a comprehensive reform of the system.

(1) curriculum content and training for industry, business needs

In a series of research in artificial intelligence constructed based on industry-oriented application personnel training curriculum.

Ø extract the training objectives based on actual student artificial intelligence personnel. Training objectives for the decomposition of key areas, key units, and each unit corresponding knowledge, ability and literacy, build the target system.

Ø On the basis of a full analysis of the required skills and literacy AI industry group positions on the teaching content of the original re-integration of practical courses around specific themes or content, in order to build capacity-building as the core, independent modular courses system.

(2) build a personalized personnel training system

Artificial Intelligence "student-centered, respect for the personality development of students' ideas optimization professional building ideas to reform training model, different levels to meet the needs and interests of students need to learn the wisdom of traditional platform to support mainly to teach at the main changes in school, teachers and designers return to coaching role.

Six main disciplines, main courses, professional core courses

Main disciplines: computer science and technology, mathematics

Main courses: Advanced Mathematics, English, Linear Algebra I, Probability and Statistics I, computational thinking I (C), computational thinking II (C ++), data structures and algorithms (C ++), computer networks and distributed processing, database principles and applications, operating systems and Linux systems applications, applied statistics with R language modeling, mathematical modeling, software engineering, machine learning based on web crawler technology, big data technology theory and application of artificial intelligence integrated application of innovative practices, two door professional orientation course (below).

Artificial intelligence technology direction Main courses: high performance cloud computing architecture and practice, neural networks and deep learning.

Core Courses: computational thinking I (C), computational thinking II (C ++), data structures and algorithms (C ++), database theory and application, operating system and Linux systems applications, big data technology theory and application of machine learning based on performance cloud computing architecture and practice, neural networks and deep learning.

Seven entry point projects with Division I

Entry point	Reason
Admissions Service	Artificial intelligence technology professional services supplement from 2019 as professional, college for professional propaganda is not enough, this is likely to lead to poor professional enrollment.
Teacher training system	For the newly opened professional, some institutions shortage of professional teacher training, or lack of practical ability in school lecturer teaching, not lead to a new creation of professional core professional leaders.
Student learning system	Difficult for students learning needs of professional teaching aid system to help students in online learning and hands-on.
Education Management Subsystem	Lecturer for new professional teaching implementation and use of digital management approach is insufficient for the new students of management ability.
Practice Training Subsystem	Students lack of practical systems for large amounts of data lines and practice.
Operating Training Project Delivery Platform	This requires a lot of specialized professional practice and deliver real project to improve students' learning ability and practical ability.
Personnel training process data visualization display system	Using a large data reflects the formation process of the quality of talents in artificial intelligence

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