Problems Solved Using Artificial Intelligence Algorithms
There are millions of problems that have been solved using artificial intelligence algorithms, so it would be impossible to list each and every single one of them.
But it is possible to look at broader categories to see where the benefit might unfold.
A few important areas to consider are:
Healthcare
One distinct advantage of using an artificial intelligence algorithm is that it makes it easier to comb through massive amounts of data in a very short period of time. Using specialized software, medical researchers are able to get through large amounts of information to find correlations that often lead to cures, the development of lifesaving technologies, vaccine integration, and more.
Energy
The energy sector also heavily relies on artificial intelligence algorithm use. Through the increased use of computers as part of a national grid, local providers can reroute power from neighboring cities and regions to ensure that those who need it most will have electricity.
Public Safety
Another interesting use for AI algorithms is within our traffic grid. If you’ve ever wondered how a red light knows to adjust based on the flow of traffic or how some major cities can automatically change traffic based on emergency circumstances, then you’ll understand how this type of programming is utilized.
Global Warming
Those concerned about the state of our planet and global warming will be happy to know that AI is a major factor in predicting the future. Using specialized instruments and data collection tools, scientists can determine what is leading to the change in our climate and what we can do to fix it.
Can AI help Climate Change?
Communications
This is a major arena in which the use of artificial intelligence algorithms is increasingly common. From the way we access the internet to how we’re able to make a call using a smartphone, there are several problems that this level of technology has solved, making this the easiest time in history to connect to one another.
Government
Governments also use artificial intelligence algorithms on a regular basis (much to the chagrin of some people). A huge part of how the United States federal government deals with personal data is completely unknown, but monitoring certain elements and communications through computer software has led to preventing major terrorist attacks, both domestically and abroad.
And that’s just a small sampling of the ever-changing and always-expanding ways humans are using AI to broaden our horizons and make life easier, safer, and more enjoyable for future generations.
What Are The Most Known Algorithms Used In Artificial Intelligence?
Do you remember learning basic multiplication in elementary school?
It was a pretty crucial foundation of what you would end up learning in the future, which is why your teacher likely made such a big deal out of it at the time.
Artificial intelligence algorithms are a lot like this.
While there are infinite options on how to program a machine, all methods start off with a few different formulas.
In fact, there are three main category umbrellas they fall under:
Classification Algorithms
This is the type of algorithm used when you want to classify a set of data in a specific way. For example, when you mark your boss as a VIP on your email list and get a special pop-up when a fellow worker sends you a message.
These types of algorithms are used to predict future netherlands phone numbers outcomes based on a set of input data. To help you get the picture, imagine the computer programs modern meteorologists use to forecast the weather.
Clustering Algorithms
These algorithms take an entire data set and find similarities or differences between specific points. An example would be finding potentially fraudulent transactions within an accounting document or indicating who in a group of people is the same age.
➜ Question time: can you use multiple algorithms in sync to complete greater sets of calculations?
The answer is yes.
In fact, the very computer or smartphone you’re using right now can be operating with thousands of different artificial intelligence algorithms, all at once.
What has really skyrocketed in the machine learning industry is the ability to complete many different sets of instructions simultaneously.
By being able to complete multiple actions in sync, everyday devices are becoming more and more intuitive to our needs, wants, and desires.