I think non-technical people use A.I. to describe systems which make decisions or calculations that people would make ordinarily. Technical types are usually referring to deep-learning systems nowadays. I think if you are looking for an accurate definition, it's hard since the statement is redundant. Artificial means to be human-made and intelligence is the ability to adapt the solution to new problems.
The problem with this is that it's also the definition for normal human problem-solving. As such, I think machine-intelligence is more accurate and describes the ability of a computer to adapt solutions to new problems sets. Then there are degrees generality which describe how abstractly the machine can "think".
ANI or narrow intelligence, the ability to solve a narrow set of problem with some set of experience
AGI, general intelligence, the ability to solve a wide set of problems with a set of experience
ASI, super intelligence a term scientists use describe a system which can solve a set of problems which are out of the domain of humans. (aka smarter than people)
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
I think non-technical people use A.I. to describe systems which make decisions or calculations that people would make ordinarily. Technical types are usually referring to deep-learning systems nowadays. I think if you are looking for an accurate definition, it's hard since the statement is redundant. Artificial means to be human-made and intelligence is the ability to adapt the solution to new problems.
The problem with this is that it's also the definition for normal human problem-solving. As such, I think machine-intelligence is more accurate and describes the ability of a computer to adapt solutions to new problems sets. Then there are degrees generality which describe how abstractly the machine can "think".