What is the difference between artificial intelligence and machine learning? Answer

What is the Difference Between Artificial Intelligence and Machine Learning?

By Jake Ross

With all the attention that artificial intelligence has been getting, it can be tricky to keep track of the myriad of terms and technologies. So, let’s set the record straight. What is the difference between artificial intelligence and machine learning?

What Is Artificial Intelligence? Answer


Artificial intelligence is the idea of using a computer to perform a task normally done by a human. While traditionally computers are rigid when it comes to what operations they can perform, artificial intelligence adds things like visual recognition, decision making, or speech recognition to make more intelligent choices. Real world examples include smart-assistants like Amazon Alexa or Siri, which can take a variety of verbal input and intelligently present the most relevant information.

What Is Machine Learning? Answer


Machine learning is a way for AI to expand their capabilities. Machine learning refers to the ability for a computer to sift through data to find new patterns, recognize new things, and create new connections. This allows AI to be adaptive, constantly refining existing processes and creating different ones. A notable example is how Google Maps predicts commute times. By analyzing the data from thousands of users, the software can more accurately predict the trip duration by considering the time of day, historical traffic, and past trips.

Conclusion



To sum up, AI is software which can make smarter choices, and machine learning is the technology that lets AI constantly adapt. Now we just have to wait for the next piece of tech terminology to confuse us all. 

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