Artificial Intelligence (AI) VS Machine Learning (ML)

Artificial Intelligence (AI) VS Machine Learning (ML)

Within the last decade, the terms artificial intelligence (AI) and machine learning have become trending. These two technologies are the most trending technologies which are used for creating intelligent systems. Although these buzzwords are sometimes used interchangeably, it is important to highlight they are not the same thing. AI and ML share similar characteristics and are often linked. However, ML is a subset of AI.

In this article, we will take a more in-depth look into artificial intelligence vs. machine learning, different types, and how we implement these technologies into our everyday life. ?

What is Artificial Intelligence?

Artificial intelligence is a term coined by Standard Professor John McCarthy in 1955. McCarthy defined Al as “the science and engineering of making intelligent machines. Al refers to the concept of giving ability to machines to mimic human cognition.

Since the AI, system does not require to be pre-programmed, they use algorithms which can work with their own intelligence. For example, if you own an iPhone, you are using artificial intelligence every day through Siri.

Siri is an integrated voice assistant available for all of Apple communication platforms. Siri can help users to perform various tasks from creating events in their calendar, making phone calls, web surfing and sending commands from different applications. Without artificial intelligence this would not be possible.

Different types of Artificial Intelligence

There are four distinct types of artificial intelligence. They all very from one another and we even have types of AI that are not available to our use right now.

1)????Reactive AI

This is the basic type of AI. In the simplest form, reactive AI id programmed to provide an output based on the input it receives. An example is using the Netflix recommendation engine. Netflix uses AI to?create teasers, highlights, recaps, and trailers for shows that can boost viewership?because viewers don't have to sift through hours of information to discover what they want to see.

2)????Limited Memory AI

Limited memory is the most widely used kind of artificial intelligence. It refers to an AI’s ability to store previous data and predictions, using that data to make better predictions Every ML model requires limited memory to be created, but the model can get deployed as a reactive machine type, which is the most basic and simplest type of AI. An example, of limited memory al are self-driven cars. Tesla cars, use sensors to identify traffic signals, steep roads, and civilians crossing the street to make better driving decisions.

3)????Theory of Mind AI

Theory of Mind AI is still under research. ?Theory of mind will differentiate from other AI’s by better understanding the entities it interacts with. To do this, it will need to take a closer look into needs, emotions and thoughts of those individuals. An example of how theory of mind will be used in the future is through the training of computers.

4)????Self-Aware AI

Like theory of mind, self-aware AI will also have needs and emotions. This is the most advanced type of artificial intelligence because machines will be self-aware of their emotions. Self-aware AI is not available yet because we simply do not have the hardware to support it.

Now that we have a better understanding of what Artificial intelligence and the different types of AI, let's look at machine learning

What is machine learning?

Machine learning is a subset of AI. According to Stanford, machine learning “enables machines to learn from past data or experienced without being explicitly programmed.” Machine learning allows software applications to become accurate.

ML works on algorithm which uses its own historical data to make certain predictions or decisions. If you have ever searched on Google, received a friend suggestion on Facebook or have been in a self-driven car, you have just used ML. ?

Different types of machine learning?

There are three types of machine learning:

1)????Supervised?learning

In supervised learning, the machine is?taught by example. The operator provides the machine learning algorithm with a?known dataset that includes desired inputs and outputs, and the algorithm must?find a method to determine how to arrive at those inputs and outputs.?An example is predicting house prices.

2)????Unsupervised learning

Unsupervised Learning is a type of machine learning in which the algorithms are provided with data that does not contain any labels or explicit instructions on what to do with it. The goal is for the learning algorithm to find structure in the input data on its own. The most used Unsupervised Learning algorithms are k-means clustering, hierarchical clustering, and apriori algorithm.

3)??????Reinforcement learning

Reinforcement learning is?a type of machine learning method where an intelligent agent (computer program) interacts with the environment and learns to act within that. An example, of reinforcement learning is how a Robotic dog learns the movement of his arms.

Conclusion

To sum things up, Artificial Intelligence and Machine Learning, both are being broadly used in several ways.?

?AI solves tasks that require human intelligence while ML is a subset of artificial intelligence that solves specific tasks by learning from data and making predictions.

This means that all machine learning is AI, but not all AI is machine learning.

How far do you think we could take AI?