Simple explanations of artificial intelligence and machine learning

 Artificial Intelligence (AI) and Machine Learning (ML) have recently become popular topics in the computer industry. Artificial Intelligence (AI) is having a greater impact on the economic sector than it is on our daily lives. In 15 Aug 2021, around $900 million in venture capital was invested in AI firms, a 700 percent increase over the previous year.AI can be found in a variety of places, from gaming consoles to the management of large amounts of data at work. Computer scientists and engineers are working hard to instill intelligent behavior in machines, allowing them to think and respond in real time. AI has progressed from being merely a research issue to being in the early phases of enterprise implementation. Google and Facebook, for example, have made significant investments in Artificial Intelligence.

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“Artificial Intelligence is the science and engineering of building intelligent devices, especially intelligent computer programs,” according to Stanford researcher John McCarthy. Artificial Intelligence is akin to the job of utilizing computers to study human intelligence, but AI does not have to be limited to biologically observable methods.”Simply said, AI's purpose is to help people.

The study of knowledge engineering is an important aspect of AI research. Machines and programs require a wealth of information about the world in order to function and react like humans. To perform knowledge engineering, AI needs have access to attributes, categories, objects, and the relationships between them. AI imbues machines with common sense, problem-solving, and analytical reasoning abilities.