With the emergence and popularity of products such as smart home appliances, wearable devices, and intelligent robots, artificial intelligence technology has entered various fields of life, causing more and more attention. So, what areas of artificial intelligence are currently applied and what technical principles are used?
What is artificial intelligence?Artificial intelligence is a new technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and extending human intelligence. It is the process of cognition, decision-making and feedback.
There have been many people who joked that artificial intelligence is like a train. You are looking forward to it. It finally comes, and then it whizzes past and leaves you behind. Although this is a kind of joke, it also reflects the rapid and unimaginable speed of the development of artificial intelligence technology. It may be a carelessness, and you are left behind.
What are the subdivisions of artificial intelligence technology?Segmentation of artificial intelligence technology applications: deep learning, computer vision, intelligent robots, virtual personal assistants, natural language processing - speech recognition, natural language processing - general, real-time speech translation, context-aware computing, gesture control, automatic recognition of visual content , recommendation engine, etc.
1, deep learning
As an application branch of artificial intelligence, deep learning is an important application field from the perspective of the number of companies on the market or the investment preferences of investors. When it comes to deep learning, the first thing that everyone thinks of is AlphaGo. Through learning and updating algorithms again and again, they finally defeated the master of the game, Li Shishi, in the human-machine war. Baidu's robot "small degree" has repeatedly participated in the "human-machine war" of the strongest brain, and won the victory, which is also the result of deep learning.
The technical principle of deep learning:
1. Build a network and randomly initialize the weights of all connections;
2. Output a large amount of data to this network;
3. The network processes these actions and learns;
4. If this action conforms to the specified action, the weight will be enhanced, and if it does not match, the weight will be reduced;
5. The system adjusts the weights by the above process;
6. Exceeding human performance after thousands of studies;
2, computer vision
Computer vision refers to the ability of a computer to recognize objects, scenes, and activities from images. Computer vision has a wide range of subdivision applications, including medical imaging analysis to improve disease prediction, diagnosis, and treatment; face recognition is used by Alipay or online self-service to automatically identify people in photos. At the same time, there are many applications in the field of security and surveillance...
The technical principle of computer vision:
Computer vision technology uses sequences of image processing operations and other techniques to decompose image analysis tasks into small, easy-to-manage tasks. For example, some techniques can detect the edges and texture of an object from an image. Classification techniques can be used to determine if the identified features are representative of a class of objects known to the system.
3, speech recognition
The most easy-to-understand way of speech recognition technology is to convert speech into words, and to recognize and process them. The main applications of speech recognition include medical dictation, voice writing, computer system voice control, and telephone customer service.
Principles of speech recognition technology:
1. Process the sound and use the moving window function to frame the sound;
2. After the sound is framed, it becomes a lot of waveforms, and the waveform needs to be extracted as an acoustic sign to become a state;
3. After the feature is lifted, the sound becomes a matrix of N rows and N columns. Then combine the words into words by phonemes;
4, virtual personal assistant
Speaking of virtual personal assistants, there may be no specific concepts in everyone’s mind. But when it comes to Siri, you can definitely understand what a virtual personal assistant is. In addition to Siri, Windows 10's Cortana is also a typical representative.
Virtual personal assistant technology principle: (taking Siri as an example)
1. After the user speaks to Siri, the voice will be immediately encoded and converted into a compressed digital file containing information about the user's voice;
2. Since the user's mobile phone is turned on, the voice signal will be transferred to the mobile operator's base station used by the user, and then sent to the user's Internet Service Provider (ISP) through a series of fixed wires, the ISP owns the cloud computing server. ;
3. The built-in series of modules in the server will identify the content that the user just said through technical means.
All in all, the virtual assistant software such as Siri works as "local voice recognition + cloud computing service".
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