Explain the connection between artificial intelligence, machine learning, and deep learning

Summarizing a memorable scientific and technological event in 2016, Alpha Dog defeated Li Shishi, a nine-segment player, marking the new height of artificial intelligence algorithms and the potential for future development of artificial intelligence. Future artificial intelligence will be given to the industry. Service industry agriculture has a great impact.

The main applications of traditional computers: scientific computing, traditional data processing and automation. Both are the ability to use computers: numerical computing capabilities; artificial intelligence is the three functions of simulating humans on a computer: imitating human thinking, including reasoning, decision making, planning, etc., belonging to human advanced intelligence or logical thinking ability . The second is to imitate perception, and the perception of the environment includes sight, hearing, and touch. The third is imitative action, including the imitation of human hands, feet, and other animal or institutional movements, also called robots.

Explain the connection between artificial intelligence, machine learning, and deep learning

Man-machine war

In the face of technology, we cannot escape, we must face up and accept new technologies. We need to understand what is artificial intelligence? What is machine learning? What is deep learning?

Explain the connection between artificial intelligence, machine learning, and deep learning

smart robot

artificial intelligence

The scope of artificial intelligence can be said to be very large and very general. From the surface, it can be understood as the intelligence of the machine, so that the machine can solve the problem and solve the problem like a human being. In fact, the core technology of artificial intelligence includes many aspects: reasoning, knowledge, planning, learning, communication, perception, movement and ability to manipulate objects. It can be said that machine learning and deep learning are all part of the big theme of artificial intelligence. In short, machine learning and deep learning are two key technologies of artificial intelligence. Looking at the history of artificial intelligence, the three major research contents of artificial intelligence: computer imitating human thinking, the perception of the environment and the realization of actions are artificial The three major research contents of intelligence.

Explain the connection between artificial intelligence, machine learning, and deep learning

Artificial intelligence development history

Machine learning

Machine learning is a field very close to AI. The motivation is to build and simulate a neural network for human brain analysis and learning. The reason why it is so hot now is that in the context of big data, people's simulation of algorithms and human brain structures allows machines to learn useful knowledge from data and knowledge, such as speech recognition and image recognition. the result of. For example, Meitu Xiuxiu is the favorite of many girls, and its core algorithm is realized by convolution BP neural network.

Explain the connection between artificial intelligence, machine learning, and deep learning

Neural network structure

What is a neural network?

The neural network is a neuron structure that simulates the human brain. The connection to the neural network is realized in a computer. Now, for humans, the neural network is like a black box, and people cannot extract knowledge from the connection weights. The learning of neural networks is divided into two parts: “supervised learning” and “unsupervised learning”. Supervised learning is to have input data and output data. Unsupervised learning is to input data only, let the network classify itself or learn its laws.

Deep learning

Deep learning only realizes that there are more layers of the network mentioned in the level of the neural network, and the network with more neurons in the network is able to mine data knowledge from a deep level.

Explain the connection between artificial intelligence, machine learning, and deep learning

Power+ Signal Power Connector

power connector is used in power module system. It can select the matching power + signal connector according to the need. The feature is that the number of power and signal contacts and the matching sequence can be selected arbitrarily while keeping the connector size and contact core number unchanged.
Plug (male) / socket (female) can be installed at 90 or 180 degrees. It supports mixed or independent combination of signal and power. The quantity range of power and signal is (2-16) pin and (12-128) pin respectively

Product features

High temperature resistant, glass fiber reinforced and flame retardant polyester is used as insulation material

Copper gold composite conductor with high conductivity is used, and the contact area of the conductor is plated with gold
It adopts shrapnel contact, which has the characteristics of integration, small volume, large current carrying capacity, soft plug-in, blind plug-in, self guidance and high dynamic contact reliability. This series of products can be interchanged with FCI's powerblade series and Tyco's multi-beam series
There are three sizes of center distance of power contact: 5.08mm, 6.35mm and 7.62mm

The length of power hole / signal pin can be selected in two sizes. The power rated current is 45A and the signal rated current is 2.5A

Power+ Signal Power Connector

ShenZhen Antenk Electronics Co,Ltd , https://www.atkconnectors.com