Technology Machine Learning vs Artificial Intelligence

Machine Learning (ML) and Artificial Intelligence (AI) are not interchangeable terms. Although they are often used as such.

AI refers to the idea of machines being capable of acting in smart ways.

ML is an application of AI, which works under the assumption that we should just give machines data and that they should learn for themselves.

Applied and general AI

There are two different types of AI: applied and general. Each of these has a different purpose.

Applied AI is commonly used in trading stocks and shares or self-driving cars. Generalized AI is a little more complex, this type of AI is present in devices or systems that could theoretically complete any task.

Machine learning

The area of generalized AI brings us Machine Learning, an exciting new avenue for the field. Instead of teaching computers large amounts of information, ML seeks to teach computers how to learn on their own.

The internet has been a driving force in the development of ML. It produces, gathers, and stores incredible amounts of information.

Neural networks

Neural networks – computer systems that group information in the way that human minds do – have been critical to the development of ML. These help computers to think about things and understand the world like a human would, while staying as accurate, fast, and impartial as a computer. Interestingly, neural networks can help a computer see images and organize them according to the elements they contain.

DALL-e is an incredible new tool that illustrates the increasing capabilities of neural networks and ML.

What can ML learn

ML is based on probability. When data is fed into the system, the computer can make predictions, decisions, or statements with some amount of certainty. Feedback is given to the machine about whether the decision it made was correct and it can learn and revise its answer for the future.

ML systems can do many interesting things. They can read a text in the tone the writer was going for. They can listen to music and categorize it by mood. They might even be able to use a reference genre to write their own music to produce a similar feeling.

Natural Language Processing

We should be able to talk to computers as naturally as we could another person. This is becoming more possible with another type of AI, Natural Language Processing (NLP).

ML can be used to help computers understand the incredible nuances of language, and to answer in a way that humans can understand.

Many experts have thought that human-like AI is inevitable, and we are moving towards that goal very quickly. A great amount of the progress that we have seen in recent years is thanks to ML changing how we think AI will work.

This is the sort of technology that brings us the Internet of Things.

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