AI in everyday life, 12 examples
Application in various fields such as self-driving vehicles and plagiarism detection As
AI continues to develop, there are more ways to lead a productive life.
What is artificial intelligence (AI) affecting in our daily life today?
AI, which is growing in popularity, has the potential to be applied in a variety of ways, from cooking to medicine. In fact, artificial intelligence is already being used in various ways around us. The US IT magazine 'ITProPortal' on the 14th introduces the contents pointed out in the article titled '12 Cases of AI in Daily Life' .
1. Self-Driving Vehicles
Autonomous vehicles use a lot of sensor data to perform missions, while learning how to respond to traffic conditions and making real-time decisions to continually improve. Autonomous vehicles use AI technology and machine learning to drive without driver control.
2. Smart digital assistant
Let's take a look at ubiquitous smart digital assistants such as Siri, Google Assistant, Alexa and Cortana. Basically, they are products that can listen and respond to commands and turn them into actions. When you tap Siri, you can issue commands such as 'Call a friend'. It does it in seconds by analyzing what the user is saying, filtering out all background noise surrounding the voice, and interpreting the commands.
As these assistants get smarter, they improve every step of the command process. There is no need to be specific about the order as it was a few years ago. Virtual assistants are also getting better at filtering out unnecessary background noise from real commands.
3. Microsoft's 'Project InnerEye'
One of the most well-known AI projects is a project run by Microsoft. Microsoft's 'Project InnerEye' is cutting-edge research that can change the world. The goal of this project is to better understand the functioning of the brain by studying the brain, particularly its nervous system. The goal of this project is to enable the use of artificial intelligence to diagnose and treat a variety of neurological diseases.
4. Plagiarism Detection
You can easily plagiarize using the Internet. The amount of information and data today is near-unlimited, making it easy for unscrupulous people to take advantage of it. In fact, no one can compare and contrast any essay with all the data that exists. AI is different.
AI can check large amounts of information, compare it to relevant text, and see if there is a match. Also, thanks to advances and growth in this field, some tools can actually check sources in foreign languages, as well as images and audio.
5. Content recommendation function
The recommendation function is getting better and better on a specific platform. This is the case with Netflix, YouTube, Spotify, etc. Thanks to AI and machine learning. These three platforms take into account what users have already seen and liked. It then compares and contrasts against thousands of other content. They basically get information from user-supplied data and then use their own database to provide content that best suits their needs.
To simplify this process for YouTube, for example, the platform uses data like tags, demographic data like age or gender, and the same data from people using different media. Then, they are combined and matched to suggest recommended content.
6. Banks
Many of the largest banks in the US offer the option to deposit checks through your smartphone. Instead of actually going to the bank, you can deposit with just two taps. When accessing a bank account over the phone, the check requires a signature in addition to a secure safeguard.
Currently, U.S. banks are using AI and machine learning software to read handwriting and securely use it to authorize checks against signatures previously provided to banks. In general, machine learning and AI technologies accelerate most of the tasks performed by software in banks. All of this allows tasks to run more efficiently, reducing waiting times and costs.
7. Anti-Credit Fraud
Banks process huge volumes of transactions in their daily business. The bank tracks and analyzes all of this. It is impossible for ordinary people. Illegal transactions such as fraud show changes every day. Using AI and machine learning algorithms, it can analyze thousands of transactions per second. It can also help you identify transactions that may be causing problems and prepare you for future problems.
Every time you apply for a loan or apply for a credit card, your bank will need to check several factors, including your credit score and financial records. Banks can do all of this with software. This shortens the waiting time for approval and reduces the potential for mistakes.
8. Chatbots
Many businesses use chatbots as a way to interact with users. Chatbots are often used as a customer service option for companies that don't have enough staff to answer or answer questions. These companies can use chatbots to get important information from customers while freeing up their employees' time for other tasks.
Chatbots are useful during busy times such as Black Friday. Many questions can be answered, and this will allow us to better serve our users.
9. Protection from spam
A typical spam filter has several rules and algorithms that minimize the amount of spam that can reach users. Not only can it help you avoid annoying advertisements and more, but you can also help prevent credit card fraud, identity theft and malware.
What makes a good spam filter effective is the AI that runs it. The AI behind the filter uses email metadata. In other words, it continuously watches for specific words or phrases and filters out spam by focusing on some signals.
10. Video Summaries
Aspects of everyday AI, such as video summarization, are becoming very popular with Netflix. Many thumbnails on websites and certain streaming apps are being replaced by short videos. One of the main reasons that has made this possible is AI and machine learning.
AI frees editors from having to spend hundreds of hours shortening, filtering, or trimming long videos into three-second videos. Hundreds of hours of content can be analyzed and then summarized into short pieces.
11. Recipe and cooking
AI also has potential in unexpected areas such as cooking. A company called Rasa has developed an AI system that analyzes food and recommends recipes based on ingredients in the refrigerator and pantry. This type of AI is great for people who love to cook but don't want to spend too much time planning their meals.
12. Facial recognition
AI and machine learning make all technologies more effective and powerful. Facial recognition is no different. Now, there are many apps that use AI for facial recognition. Snapchat, a social networking service (SNS), uses AI technology to apply face filters that actually recognize human faces. Facebook can now identify faces in specific photos and invite others to tag them.
And the ability to unlock a phone using a face requires AI and machine learning to work properly. Apple's 'Face ID' scans your face when installed and defines about 30,000 rules. It is used as a marker to help recognize faces from various angles. This allows you to use your face to unlock your phone in a variety of situations and lighting environments while preventing others from doing the same.
Conclusion
AI technologies continue to advance, grow, and become increasingly important in every industry and in almost every aspect of our daily lives.
Artificial intelligence is expected to continue to advance in new areas of our lives in the future. As innovative applications are developed, we will see more of how AI can make life easier and more productive.
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