The discussion about Artificial Intelligence ie AI has intensified over the last year. In November last year, the word AI became very popular among people after the introduction of the AI chatbot ChatGPT by OpenAI. Now everyone from the tech market to business and from researchers to college students is talking about AI and ChatGPT. Most people believe that this is the next breakthrough technology. According to PwC, AI could contribute $15.7 trillion to the global economy by 2030. But do you know how many types of artificial intelligence technology are there? In this report, we will tell you about five types of Artificial Intelligence techniques. Let's know.
Machine learning
Machine learning is a major component of artificial intelligence. Simply put, it is an algorithm that scans data sets and then takes help from them to make educated judgments. In the case of machine learning, computer software learns from the experience of its work and then also improves its performance. That is, computer software trains itself in machine learning. Natural language processing and machine learning have been used in AI tools like ChatGPT and Bard.
Deep learning
Deep learning can also be considered a subset of machine learning. Deep learning is based on artificial neural networks with representational learning. The 'deep' in deep learning refers to deep learning in the network. That is, there is a lot of learning capacity in it. Simply put, it teaches computers to process data in a manner inspired by the human brain.
Natural Language Processing (NLP)
Natural Language Processing ie NLP is also a type of artificial intelligence, which combines AI and linguistics. With its help, humans are helped to communicate with machines and robots using natural language. Google Voice Search is the simplest example of Natural Language Processing.
Computer vision
Computer vision is used in organizations to cut costs and increase security as well as improve the user experience. The market for computer vision is growing at the same rate as its capabilities and is expected to reach $26.2 billion by 2025. This is about 30% annual growth. Computer vision is used in self-driving cars.
Explainable AI (xAI)
Explainable Artificial Intelligence is a collection of strategies and approaches. Explainable AI technology helps humans discover machine learning algorithms as well as understand and trust the output. Explainable AI can explain the effects and biases of any AI model. It contributes to the definition of correctness, objectivity, and transparency of the model and helps in AI-driven decision-making.
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