If you have seen any of the numerous apocalyptic movies or shows about technology taking over our world, you are probably aware of the concept of artificial intelligence. This idea evokes distrust and discomfort in the hearts of many people, especially those who did not grow up during the explosion of new technology that has been occurring for the last few decades.

Many people are hesitant about accepting the idea that cars can drive more accurately than humans or that a computer can to some extent understand human emotions. However, even those who are supportive of these unbelievable technological advancements are trying to understand their many different forms, such as machine learning vs artificial intelligence.

These two forms of technology are used in distinctly different ways, but they are both centered on performing tasks and understanding information in efficient and advanced ways. Programmers have harnessed the genius of the human brain and used its intelligence in technology, creating a combination of efficiency and human-like intelligence.

This allows us to use technology in ways that we were never able to before, from self-driving cars to robots who perform tasks for humans. Although many tech-savvy individuals are trying to decide between machine learning vs artificial intelligence, all can agree that both will help us to become a more efficient and productive society.

What Is Artificial Intelligence?

When deciding between machine learning vs artificial intelligence, it is essential to first understand the ins and outs of artificial intelligence, which is a technology that allows machines to perform operations in ways that are “intelligent.” These machines are able to adjust to different situations and incorporate information from results rather than simply just performing a single motion continuously.

The main idea of artificial intelligence to create a virtual “brain,” developing machines that can think in a similar fashion to the human brain. This was first created with the invention of the computer, which was able to remember data and calculate accordingly.

Technology and science have become much more advanced since the original creation of Artificial Intelligence, resulting in more accurate machines. We have more knowledge about how our brains function, along with a better capacity to reflect these processes in our technology. The more information we discover, the closer our computers come to simulating human behavior. AI developers are currently working to develop machines that can select options and make choices in similar ways to humans, which will then allow them to perform tasks similar to how humans would.

Although there are many elements of artificial intelligence, it has two main categories; applied AI and generalized AI. Applied artificial intelligence is the most well-known form of this technology, consisting of everything from self-driving cars to strategic stock trading. Generalized artificial intelligence is not as common because it is harder to develop, but it essentially has the ability to perform a side variety of tasks just like humans can. This division in the development of artificial intelligence eventually caused the creation of machine learning, currently one of the most popular and well-known forms of artificial intelligence.

robot Machine Learning vs. Artificial Intelligence

What Is Machine Learning?

The concept of machine learning is centered on the objective of creating machines that can calculate and process information and learn independently of human guidance. The first need for machine learning was created when programmers observed that it is more effective to teach computers how to learn than to guide them through performing each task. Rather than giving them the training and information to complete various tasks, computer programmers decided to teach them how to use this information themselves.

The Internet and Neural Networks

Although this realization was the basis for machine learning, another creation was a significant part of the process- that of the internet. When the internet was invented, we were suddenly able to store incredible quantities of data, something that had previously been impossible. This allowed machines access to amounts of information that was previously unavailable because of storage limitations. Because of this access to extremely large amounts of information, computer programmers realized that they should change their goal to teaching computers how to “think” and thereby use the data accessible on the internet to learn.

Another development that was crucial to the creation of machine intelligence was that of neural networks, which are a system that allows computers to process information in the same way that human brains do. A neural network can categorize images by looking at pictures and recognizing parts of them, similar to how our brains classify information. These systems utilize the information available to make decisions and understand situations, allowing them to make choices that are very likely to be correct. One of the most essential aspects of this process is the feedback loop, which permits a machine to evaluate whether its choice was correct and then change its strategy to be more accurate in the future.

Machines Vs. Humans

This incredible technology permits machines to imitate the activity of a human brain, using data and results to come to conclusions in the same way that we do. However, the essential difference between a human and a machine is that the machine can make decisions in a more efficient, precise and unbiased way. We have an amazing capacity to learn and create, but we can never think in an entirely unbiased manner. An artificially intelligent machine can simulate the brain activity of a human while eliminating that which keeps us from being completely accurate.

Machine learning has developed to the extent that a computer can read a text and decide whether the words contain positive or negative sentiments. Using this ability to understand emotions and process information, a machine can determine whether a song will most likely evoke sadness or happiness in its listeners. Utilizing this deep understanding of text content and human feelings, a machine can even create an original piece with the same theme as a song that it has listened to in the past. This ability demonstrates just how thoroughly machines can understand the workings of the human brain.

Machine Learning vs Artificial Intelligence| Do We Need Both?

When debating between machine learning vs artificial intelligence, it is important to have a full understanding of each technology. Both machine learning and artificial intelligence can be used to further technology and science, along with improving our quality of life, but they are used in very distinct ways. These two new forms of advanced technology are both based on the idea of a machine imitating the processes of the human brain. One must decide machine learning vs artificial intelligence depending on the situation at hand.

Machine Learning

In machine learning, a machine can learn independently to perform certain tasks without being explicitly programmed to do so. It uses gathered data and learned experience to improve its technique when doing a task, allowing it to improve over time. Machine learning uses input and output to classify results and gain the best understanding of how to proceed in certain situations. Machine learning is used in the field of natural language processing as its understanding of the human brain allows it to be very useful in communication with people.

Artificial Intelligence

Artificial intelligence, on the other hand, is the development of giving machines the capacity to do tasks that humans can currently perform better. The objective is to give a machine all the abilities that humans have in all situations and tasks. For example, automated cars use the processes of artificial intelligence to drive like humans do but with fewer errors and more precision. While all programs of artificial intelligence cannot learn independently, many of them are able to do certain tasks much better than humans can, allowing for more effective processes.

Machine Learning vs Artificial Intelligence

We need both machine learning and artificial intelligence because they offer very different capabilities, all of which improve our world. Machine learning has received much more attention in the media recently as it is used in many websites such as Amazon and YouTube to give viewers options based on their previous searches. It also has a high potential to be used for virtual customer assistance that will be just as helpful as the customer support of a human. However, artificial intelligence is essential to many simpler applications that require simulation of the human brain without the need for continuous learning.

Conclusion

robot hand Machine Learning vs. Artificial Intelligence

Although many still continue the debate created by the question of machine learning vs artificial intelligence, it is agreed upon by all that they are indispensable to our current technological society. Artificial intelligence has many connotations, but no one could deny that it helps us to process data in faster and more accurate ways than were possible in the past. Machine learning has opened a world of possibilities for humans when it comes to classifying information and improving communication. By harnessing the power of the human brain and the potential for the accuracy of machines, we can develop a society that produces a higher quality and quantity of products and information at a higher rate than ever before.