Artifficial Intelligent (AI)

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What is artificial intelligence? What artificial intelligence is and how is it used in life Artificial intelligence or artificial intelligence (AI) is an industry in the field of computer science (Computer science). A human programmed intelligence with the aim of helping computers automate intelligent behaviors like humans. Artificial intelligence differs from programming logic in programming languages ​​by applying machine learning systems to simulate human intelligence in the processes that humans do better than computers. . Specifically, artificial intelligence helps computers to have human intelligence such as: thinking and reasoning to solve problems, communicating by understanding language, language, learning and adapting, … Although artificial intelligence has the same broad meaning as intelligence in science fiction, it is one of the key disciplines of informatics. Artificial intelligence is related to the behavior, learning, and adaptability of machines. How many types of AI are there? AI technology is divided into four main categories:

Type 1: Reactive AI technology. Reactive AI technology is capable of analyzing the most possible moves of itself and of the opponent, thereby providing the most optimal solution. A prime example of reactive AI technology is Deep Blue. This is an automated chess game program, created by IBM, with the ability to identify moves and predict your opponent’s next move. Through it, Deep Blue makes the most appropriate moves.

Type 2: AI technology with limited memory A characteristic of AI technology with limited memory is the ability to use past experiences to make decisions in the future. This AI technology is often combined with ambient sensors to predict the possible circumstances and make the best decision for the device. For example, in unmanned vehicles, many sensors are equipped around the vehicle and at the top of the vehicle to calculate the distance with the vehicles in front, AI technology will predict the possibility of a collision, thereby Adjust vehicle speed to keep the vehicle safe. driverless car

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Type 3: Artificial intelligence theory This AI technology can learn and think for itself, then apply what it learns to do a specific thing. Currently, this AI technology has not yet become a viable option. Type 4: Self-awareness This AI technology has the ability to self-perceive, consciously and behave like humans. They can even express emotions as well as understand human emotions. This is considered the highest development step of AI technology and up to now, this technology is not yet feasible.

Type 4:

Self-awareness This AI technology has the ability to self-perceive, consciously and behave like humans. They can even express emotions as well as understand human emotions. This is considered the highest development step of AI technology and up to now, this technology is not yet feasible.volume_upcontent_copysharestar_border

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How AI is applied in the present and future life In the transport industry Artificial intelligence is applied on self-driving vehicles, typically cars. This application contributes to higher economic benefits thanks to the ability to reduce costs as well as limit dangerous accidents. In 2016, Uber’s self-driving car developer Otto successfully transported 50,000 cans of Budweisers beer by self-driving car over a distance of 193 km. According to information technology consulting firm Gartner, in the future, cars can connect to each other via Wifi to offer the best transport routes.

In production: Artificial intelligence is used to build more optimal production processes. AI technology is highly analytical, serving as a basis for directing decisions in production.

In healthcare: The typical use of artificial intelligence in the medical field is drones, which are used in emergencies. The drone is up to 40% faster than a special vehicle and is perfect for use in rough terrain.

The trend of technological innovation in the world always focuses on the development of artificial intelligence. In about 5 to 10 years, the technology industry will truly reach its peak. Let’s wait for the latest human innovations in this field.

In this blog I will go through AI: from basic to advance. You will learn about Convolution neural network, reinforcement learning. The way to short and process data. Training data. All of them will be explain through lecture by lecture.

Form: Thanh Nguyen

Software Architekt.

From Thanh : Software Developer | Devops Engineer | Blog Writer in Germany

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