12 real-world applications of artificial intelligence

 



You may find twelve instances of AI in our everyday life in the article below.


It's easy to understand why artificial intelligence (AI) is gaining popularity. AI has the potential to be used in a wide range of applications, including cooking and healthcare.


Though artificial intelligence is currently a buzzword, it may become a common part of our daily life in the near future. It's already here, in fact.


1. Self-driving automobiles (CARS)


They work and progress by collecting and analyzing a large amount of sensor data, learning how to deal with traffic, and making real-time judgments.


These automobiles, also known as self-driving cars, employ artificial intelligence and machine learning to navigate around without the passenger needing to take control at any moment.


2. Intelligent assistants



Let's start with something quite common: clever digital assistants. We're talking about Siri, Google Assistant, Alexa, and Cortana here.


We put them in our list since they can essentially listen and then respond to your orders, converting them into actions.


So you go to Siri, give her a command like "call a buddy," and she analyzes what you said, sifts through all the background noise around your speech, understands your demand, and actually performs it, all in a few of seconds.


The best aspect is that these helpers are becoming smarter and wiser, improving every level of the command procedure stated above. You don't have to be as explicit with your orders as you were a few years ago.

Furthermore, virtual assistants have gotten increasingly adept at distinguishing between irrelevant background noise and your genuine requests.


3. InnerEye, a Microsoft Project




Microsoft's AI Project is one of the most well-known AI initiatives. It's no surprise that Microsoft is one of the leading AI businesses (albeit far from the only one).

Microsoft Project InnerEye (opens in new tab) is cutting-edge research that might transform the world.

The goal of this research is to learn more about the brain, primarily the neurological system, in order to better comprehend how it works. The goal of this research is to someday be able to identify and cure numerous brain illnesses using artificial intelligence.


4. Plagiarism


The worst nightmare of a college student (or is it a professor?) You face the same problem whether you are a content manager or a teacher judging essays: the internet makes plagiarism simpler.

There is an almost limitless quantity of information and data available, and unscrupulous students and employees will simply use it.

No human could, in fact, evaluate and contrast someone's writing with all of the facts available. AIs, on the other hand, are a completely other animal.

They can search through enormous amounts of data, compare it to pertinent language, and determine whether or not there is a match.

Furthermore, as technology advances and grows, certain systems can now examine sources in other languages, as well as photos and audio.


5. Suggestions

You may have observed that media suggestions on specific sites, such as Netflix, YouTube, and Spotify, are growing better and better. You may credit artificial intelligence and machine learning for this.


The three sites we discussed consider what you've already seen and liked. That's the simple part. Then they compare it against thousands, if not tens of thousands, of other pieces of media. They basically learn from the data you submit and then utilize their own database to present you with information that is tailored to your specific requirements.


Let's use YouTube as an example to simplify this process.

The platform makes use of data such as tags, demographic information such as your age or gender, and data from individuals who consume various types of media. Then it combines and contrasts your recommendations.


6. Banking



Many major banks now allow you to deposit checks by smartphone. Instead of walking to the bank, you may do so with a few touches.


Aside from the obvious precautions that come with using your phone to access your bank account, a check also requires your signature.


AIs and machine learning software are being used by banks to analyze your handwriting, compare it to the signature you previously provided to the bank, and safely authorise a check.


Machine learning and AI technology, in general, speed up most software procedures at a bank. All of this contributes to more efficient job execution, resulting in shorter wait times and lower costs.


7. Credit and deception

And while we're on the subject of banking, let's discuss a little about fraud. Every day, a bank handles a massive number of transactions. It is difficult for a normal human being to track and analyze all of it.


In addition, the appearance of fraudulent transactions varies from day to day. Thousands of transactions can be evaluated in a single second using AI and machine learning techniques. You may also have them learn, figure out what troublesome transactions can look like, and prepare themselves for future problems.


Following that, whether you apply for a loan or a credit card, a bank must review your application.

Taking many things into consideration, such as your credit score and financial history, software can now handle it all. As a result, approval times are reduced and there is less room for error.


8. Chatbots

Many organizations are utilizing artificial intelligence, notably chatbots, as a means for their consumers to connect with them.


Chatbots are frequently employed as a customer support solution for businesses that do not have enough people accessible to answer questions or reply to requests at all times.


These businesses can free up staff time for other work while still receiving critical information from their clients by utilizing chatbots.


These are a blessing during peak traffic periods such as Black Friday and Cyber Monday. They can keep your organization from becoming overburdened with queries, allowing you to provide better service to your clients.


9. Preventing Spam



Spam filters are something we can all be glad for.


A typical spam filter employs a set of rules and algorithms to reduce the quantity of spam that reaches you. This not only protects you from obnoxious advertisements and Nigerian princes, but it also protects you against credit card fraud, identity theft, and viruses.


The AI that runs a decent spam filter is what makes it effective. The AI behind the filter examines email information, keeping an eye on certain words or phrases, and focusing on certain signals, all with the goal of filtering out spam.


10. Video Summaries

Netflix helped popularize this common AI characteristic.


Specifically, you may have noticed that many images on webpages and some streaming applications have been replaced by short movies. AI and machine learning are two of the key reasons for its popularity.


Rather of having editors spend hundreds of hours reducing, screening, and chopping up larger recordings into three-second clips, AI handles it for you. It analyzes hundreds of hours of information before successfully summarizing it into a brief piece of media.


11. Cooking and recipes



AI has the potential to be useful in a variety of unexpected domains, including cooking.


Rasa, a business, has created an artificial intelligence (AI) system that analyzes food and then offers meals depending on what you have in your refrigerator and pantry. This form of AI is ideal for folks who like cooking but do not want to spend a lot of time planning out meals ahead of time.


12. Recognition of facial expressions

If we can say one thing about AI and machine learning(opens in new tab), it is that they improve the effectiveness and power of any technology with which they come into touch. The same is true for facial recognition.


Many applications now employ artificial intelligence for face recognition. Snapchat, for example, applies face filters by identifying the visual information given as a human face and using AI technology to do so.


Facebook can now recognize people's faces in certain photographs and offer them to tag themselves or their friends.


Consider unlocking your phone using your face, as well. To work, it requires artificial intelligence and machine learning.

As an example, consider Apple Face ID. When you set it up, it scans your face and assigns it around thirty thousand dos. It use these dots as identifiers to assist it in recognizing your face from a variety of perspectives.


This allows you to unlock your phone with your face in a variety of circumstances and lighting conditions while also stopping others from doing the same.


Conclusion

Now is the time to look ahead. AI technology will continue to evolve, expand, and become increasingly important in practically every business and element of our daily life. It's only a matter of time, if the aforementioned cases are to be believed.


In the future, artificial intelligence (opens in new tab) will continue to evolve and be present in new aspects of our life. We'll see more methods for AI to make our lives easier and more productive when more new apps are released!


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