12 Best Examples of Artificial Intelligence in Daily Life

12 Best Examples of Artificial Intelligence in Daily Life

AI is gaining popularity. It’s easy to see why. AI can be used in many ways, including in cooking and healthcare. Artificial intelligence is a buzzword right now, but it will be the future. It might become an everyday part of Artificial intelligence in daily life. It’s facts – actually already here.

1. Self-driving cars

They are able to work efficiently and make real-time decisions by utilizing lots of sensor data, learning traffic management, and taking action.

These cars are also known as autonomous vehicles. They use AI tech and machine learning to move about without the driver having to control them.

2. Smart assistants

Let’s start with something very ubiquitous: smart digital assistants. We are referring to Siri, Google Assistant Alexa, Cortana, and Google Assistant.

We added them to our list because, They can listen to you and then respond to your commands, turning them into actions.

You call Siri and give her a command like “call a buddy”. She analyzes what you say, filters out background noise, interprets your request, and then does it in just a few seconds.

This is the best thing about this assistant system. They are becoming smarter and more intelligent, improving each stage of the command process that we discussed above. Your commands don’t need to be as precise as they were a few years ago.

Virtual assistants are also better at filtering out background noise and separating your commands from the actual ones.

Also read: Top 10 Free Virtual Assistants For Android

3. Microsoft Project InnerEye

Microsoft is the leader of one of the most popular AI projects. It’s not surprising that Microsoft is the most prominent AI company(though it’s certainly not the only one).

Microsoft Project InnerEye is state-of-the-art research that could potentially transform the world.

This project is about studying the brain and specifically its neurological system to better understand its functions. This project aims to develop artificial intelligence that can diagnose and treat neurological disorders.

4. Plagiarism

College students (or professors?) nightmare. nightmare. You have the same problem whether you’re a content manager, teacher, or teacher who grades essays. The internet makes it easier to Plagiarism.

There are a lot of data and information out there. Students and employees who are not very careful will be able to take advantage of it.

It is impossible for anyone to compare an essay with all of the data available. Artificial intelligence (AIs) are quite a different beast.

They can sort through a lot of information and compare it with relevant text to see if they are matched.

Moreover, due to the advancements and growth in this field, some plagiarism tools can now check sources in foreign languages as well as images, audio, and video.

5. Recommendations

You may have noticed that certain platforms offer media recommendations that are more relevant and useful. These include YouTube, Netflix, and Spotify. This is all thanks to AIs and machine learning.

These platforms take into consideration what you’ve already seen and enjoyed. This is the hard part. They then compare it to thousands, if possible tens of thousands, of other media. They learn from your data and use their own database in order to provide the best content for you.

Let’s take YouTube as an example.

It uses data such data as tags, demographic data, like your age or gender, and the same data about people who have consumed other media. It then matches and mixes your suggestions.

6. Banking

Many banks offer the ability to deposit checks using your smartphone. You don’t have to walk to the bank. It is possible with just a few taps.

Other than the obvious safety measures when To access your bank account via your phone, you will need to sign a check.

Banks now use AIs and machine-learning software to read your handwriting and compare it with the signature that you provided to the bank before they approve checks.

Machine learning and AI tech generally speed up the majority of bank operations. This allows for more efficient execution, reducing wait times, and lower costs.

7. Credit and fraud

While we’re on the topic of banking, Let’s talk a bit about fraud. A bank processes large amounts of transactions each day. It’s difficult for regular humans to track all that and analyze it.

Additionally, the appearance of fraudulent transactions changes daily. You can analyze thousands of transactions in one second using AI and machine-learning algorithms. You can also make them learn, identify problematic transactions, and prepare for future problems.

A bank will need to review your application when you apply for a loan or get a credit card.

Taking into account multiple factors, including your credit score and financial history all of that software can handle all this. This results in shorter approval times and lower error margins.

8. Chatbots

As a way to allow customers to interact with businesses, AI is being used extensively, particularly chatbots.

Chatbots can be used to provide customer service for companies with insufficient staff to respond to questions and answer inquiries.

These chatbots allow companies to free up their staff for more important tasks, while still obtaining valuable information from customers.

They are invaluable during high traffic times like Cyber Monday or Black Friday. These can help you avoid being overwhelmed by questions and allow your company to better serve your customers.

Also read: Top 10 Latest Technologies in 2022

9. Saving you from spam

This is something that we can all be grateful for spam filters

A spam filter typically has several rules and algorithms that reduce the spam that can reach your inbox. This helps you avoid annoying ads and Nigerian princes. It also protects against identity theft, credit card fraud, and malware.

The AI behind a spam filter is what makes it effective. The filter’s AI uses email metadata to filter spam. It keeps an eye out for specific words and phrases, and it focuses on certain signals in order to filter out spam.

10. Video summaries

This daily AI aspect became really popular through Netflix.

You might have noticed that many thumbnails on websites have been replaced with short videos. This trend is due to AI and machine learning.

The AI cuts longer videos into shorter videos by reducing, filtering, and cutting them down to three seconds each. Instead of editors spending hundreds of hours editing, the AI does it all for you. The AI analyzes hundreds of hours’ worth of content and then summarizes it into a brief piece of media.

11. Recipes and cooking

AI has also potential in other areas such as cooking.

Rasa is a company that specializes in AI systems for food analysis, has created an AI system that can analyze your pantry and kitchen and recommend recipes. This AI system is great for those who love cooking but don’t want to spend too much time planning out meals ahead of time.

12. Facial recognition

One thing we can agree on about AI and machine learning is that they make all tech they come into contact with more powerful and effective. Facial recognition is no exception.

Many apps now use AI to recognize facial features. Snapchat, for example, uses AI tech to apply facial filters by recognizing visual information as a human face.

Facebook now allows you to identify people in photos and invite them to tag you or your friends.

You can unlock your phone with your facial expression. It needs AI and machine learning to function.

Let’s use Apple Face ID as an example. It scans your face when you set it up and places approximately thirty thousand dots on it. These dots are used as markers to recognize your face from different angles.

This allows you to unlock your phone with just your face in many lighting conditions and situations. It also prevents someone else from doing so.

Conclusion

The future is now. AI technology will continue to evolve, grow and become more important for all industries and every aspect of our daily lives. It’s only a matter of time if the above examples are true.

Ai will continue to develop and be present in new areas in our lives in the near future. We’ll continue to see new applications that AI can make our lives easier and more productive!

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