Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is a field of study in computer science that develops and studies intelligent machines. AI is the simulation of human intelligence processes by machines, especially computer systems. It involves the use of algorithms and statistical models to enable machines to perform tasks that typically require human intelligence, such as recognizing speech, making decisions, and identifying patterns in data. AI encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence.
AI has become a catchall term for applications that perform complex tasks that once required human input, such as communicating with customers online or playing chess. AI automates repetitive learning and discovery through data. It enhances the speed, precision, and effectiveness of human efforts. AI is a boon for improving productivity and efficiency while at the same time reducing the potential for human error. However, there are also some disadvantages, like development costs and the possibility for automated machines to replace human jobs.
The history of AI as we think of it today spans less than a century. The term "artificial intelligence" was coined in 1956 at the Dartmouth Summer Research Project on Artificial Intelligence. The field went through multiple cycles of optimism followed by disappointment and loss of funding, but after 2012, when deep learning surpassed all previous AI techniques, there was a vast increase in funding and interest.
In summary, AI is a field that combines computer science and robust datasets to enable problem-solving. It involves the use of algorithms and statistical models to enable machines to perform tasks that typically require human intelligence.
