AI News, What is the difference between Machine Learning and Artificial Intelligence?

What is the difference between Machine Learning and Artificial Intelligence?

Artificial Intelligence and Machine Learning are two terms related to the world of computer science that can be heard a lot these days.

Be it medical sciences, meteorology, robotics, understanding customer perspectives or scientific developments;

these fields are offering an excellent way to move forward without letting technology stagnate.

At an Artificial Intelligence Conference that was held in Dartmouth, 1956, it was described that every aspect of learning or any feature of intelligence that can be simulated in a machine could be described as Artificial Intelligence.

If you take instances, Artificial Intelligence could refer to the ability of a computer program to play a game of chess.

This technology is sometimes classified into three different groups - Narrow AI, artificial general intelligence (AGI) and superintelligent AI.

They would be smarter than the best human beings in every possible field and would act as a superior mind.

Machine Learning Machine Learning is just a subset of AI, where the core notion is that the machine would be able to take data and learn for them without human intervention.

The ML systems would be quickly able to apply the knowledge from the large training datasets to speech or facial recognition, translation, object recognition and other similar tasks.

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