AI technology of the present and the future

AI (Artificial Intelligence) technology is currently the most developed and applied technology today, applied in many fields such as facial recognition, voice processing, crowd estimation techniques... to security systems, privacy, or legal and government systems.
Following the flow of the 4.0 revolution, artificial intelligence is increasingly popular and widely applied in all areas of life, although it was first mentioned by John McCarthy - an American computer scientist. in the 1950s, but today the term artificial intelligence is truly widely known and is being developed by the "big guys" of the technology industry.

AI is the most popular digital technology capable of performing tasks that normally require human intelligence. A characteristic of AI technology is the computer's "self-learning" ability, so it can self-judge and analyze new data without human support, and at the same time has the ability to process data. data in very large quantities and at high speeds.

Currently, every day globally, about 2.2 billion Gb of new data (equivalent to 165,000 billion pages of documents) are created and used by companies such as Google, Twitter, Facebook, Amazon, Baidu, Weibo, Tencent or Alibaba. collected to create "big data". Artificial intelligence is a field related to computer science and information technology. The nature of artificial intelligence is still made by humans, they build algorithms and program with tools. Information technology software helps computers automatically handle intelligent behaviors like humans.

Artificial intelligence has the ability to self-adapt, self-learn and self-develop, make its own arguments to solve problems, can communicate like humans... all because AI has a large database installed. , programmed on that database and reprogrammed on the newly created database. Just like that, the structure of AI is always changing and adapting to new conditions and circumstances. By 2030, the financial consulting and auditing company PwC predicts that global GDP could grow by 14% with the support of artificial intelligence. AI has appeared in many industries, from service provision virtual shopping and online banking to reducing capex in manufacturing and streamlining diagnostics in healthcare. AI has pushed most industries forward and changed the lives of many people

During its development history from 1960 to 2018, the world has had nearly 340,000 patents and more than 1.6 million scientific articles related to the development of artificial intelligence published. In the 80s, AI began to gain attention, but it was not until the 2012s that the acceleration became strong. In the period 2006-2012, the average number of patent publications increased by 8% in a year, but in the period 2012-2017, the increase reached 28% in a year.
The number of patent applications related to AI increased from 8,515 in 2006 to 12,473 in 2011 and 55,660 in 2017 (an increase of 6.5 times within 12 years). In scientific research, publications related to AI have also increased rapidly, especially recently in 2018 with 1,636,649 articles published. The appearance of scientific articles about AI began 10 years earlier when the race to patent AI technology took place. Proving that the results of basic scientific research on AI were effective in terms of application when the race to register for patent protection increased afterward.

According to the ACM (Computing Analysis Scheme) classification system, there is a clear analytical framework suitable for synthesizing and representing the changing technology of AI over time. This classification has been used for more than 50 years, and the last update in 2012 added new technologies.

Accordingly, AI technology is divided into 3 main directions: - AI Technique: are advanced computational and statistical models such as machine learning, fuzzy logic and knowledge base systems that allow calculations and tasks to be performed by humans; Different artificial intelligence techniques are used to perform different functions.
AI functions application: such as computer vision, may contain one or more different intelligence techniques. - AI Application field: is the use of functional artificial intelligence techniques or applications in specific fields and industries such as transportation, agriculture, life sciences, medical...

With predictions about the application of AI technology in many different fields, researchers, businesses, startups and governments can guide future development goals:

AI artificial intelligence technology can be the key to effective and thorough administrative reform, helping to make significant changes and solve many current inadequacies in the management and administration of the government. state management agencies at all levels. A typical example is the application of AI to chatbot systems (automatic responses) and virtual assistants at administrative centers. This allows people who query information to receive answers quickly and effectively, as well as prevent queuing and waiting like before.

With the huge amount of data stored in government databases, AI has the ability to organize and combine multiple data sets to extract information, as well as summarize a variety of data types. However, for effective implementation, network security and information security issues also need to be paid attention to and patched by the AI ​​system.
Face recognition Face recognition using AI is the application of artificial intelligence to verify facial characteristics, computers automatically identify and identify someone from a digital image or a frame in a video. Face recognition using AI technology belongs to a branch of computer vision, in which computer vision is much better than the human eye. One of the ways to determine is based on the nodal points of the face. AI technology can measure up to 80 nodal points (the distance between points on a face, making facial recognition (FR) easier.

With FR mechanism, a neural network is formed in the system by inputting data to create pattern recognition, and these data include facial images of millions of people compiled from various sources. such as social networks, websites, surveillance cameras with the function of recording other applications that declare facial recognition... AI deploys an algorithm to store the distance of node points in its database, scans and recognizes identify and match personal identifiers to existing data. Currently, this application is integrated with many monitoring systems such as at the company's timekeeping portal, monitoring systems at airports, train stations, and public places; facial recognition in national security systems; in bank and building security systems

In the transportation industry Artificial intelligence is applied to self-driving vehicles, typically cars. This application contributes to higher economic benefits thanks to the ability to cut costs as well as limit life-threatening accidents. However, this application is not yet popular because it is still in the testing phase, but with the support of Deep Learning algorithms with a variety of functions such as image recognition and processing; voice recognition and control, natural language processing; detect obstacles, solve real-time control problems and build a huge database of traffic systems and traffic situations... this application will soon be applied in the future. was put into use.
Self-driving cars will be safe and handle situations intelligently because they are integrated with many automatic features. Sensors around the car always broadcast signals that are wide enough and far enough away to detect obstacles, helping to detect obstacles. Quickly detect obstacles, cameras identify image signals for timely analysis and processing according to algorithms with available data (signs, traffic instructions, vehicle tracking, pedestrians... ) The future of AI technology AI technology has brought great success in various industries, but the peak of its development is yet to come. In 2016, the global AI market was worth 4 billion USD but is expected to reach 169 billion USD by 2025 and 15,700 billion USD by 2035. With the trend of technology development and applications in social life is constantly changing, AI technology is increasingly the destination of the majority of scientists in the future.