Examples of Artificial Intelligence In Daily Life 2022

 Advanced artificial intelligence is an elusive term. The moment we achieve something that we find difficult to grasp, we no longer consider it advanced or intelligent. The days when chess-playing computers were regarded as the pinnacle of AI are long gone.

Today the term "advanced AI" evokes a highly humanoid image of a conversational robot like Sofia the Robot. However, in reality, most of AI is only used to complement human intelligence. The following are some examples of how cutting-edge AI technologies can be used to solve the world's most pressing problems.

While artificial intelligence is a broad term used to encompass a variety of sub-domains, machine learning is one of them. We'll talk about some of the best instances of artificial intelligence in daily life throughout this post.

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1. Unlock your phone with Face ID

With the launch of the iPhone X, Apple introduced a radical way to unlock your iPhone using your face as a password.

The underlying technology behind Apple's newest security FaceID uses the neural engine and facial recognition in Apple's A11 and silicon to create a 3-dimensional map of the user's face, capturing and matching the facial map image during the unlocking process. It also works when users wear accessories such as glasses, scarves, makeup and facial hair.

2. Maps and Navigation

AI has greatly improved travel. Instead of relying on printed maps or directions, you can now use Waze, Google or Apple Maps on your phone and type in your destination.

Using machine learning, algorithms remember the edges of buildings it learns, allowing for better visuals on the map and for identifying and understanding house and building numbers. The application is also taught to understand and detect changes in traffic flow so it can recommend a route to avoid roadblocks and congestion.

3. Text editors or autocorrect

AI algorithms use machine learning, deep learning, and natural language processing to detect incorrect use of language and suggest corrections in word processors, texting apps, and every other written medium. Linguists and computer scientists work together to teach grammar to machines, just like you teach in school.

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4. Search and recommendation algorithms

Have you noticed that when you want to watch a movie or shop online, the things suggested to you often align with your interests or recent searches? By monitoring your online activities, these clever recommendation systems have gradually come to understand your behaviour and preferences. Data is collected at the front end (from the user) and stored and analyzed by machine learning and deep learning.

5. Digital assistants

Virtual assistants like Siri, Cortana, Google Assistant etc. have made our lives easier. From reminding us to pick up the parcel to telling us a joke, they were a great companion. This software is capable of speech pattern recognition and has facility for natural language processing. In addition to this, there is a possibility to learn about the user by monitoring working hours, screen time and other relevant factors.

6. Shopping sites

Shopping apps monitor the time, weather, approaching festivals and the pattern of products that the user frequently buys. Based on this offer notifications are released and attract customers. All these intelligent tasks are performed by artificial intelligence.

7. Chatbots

We used natural language processing in ai (NLP) to train chatbots to mimic the conversational patterns of customer service agents. Advanced chatbots don't require complex input formats (like yes/o questions). They have the ability to respond to complex questions that require comprehensive answers. They look like a customer representative, in fact, another example of artificial intelligence (AI).

8. Transportation

Vehicle rental applications like Uber, Ola etc are very helpful as they are readily available to provide you with a ride whenever you need it. However, we undermine the potential of such AI-based apps. We often get a notification to book a ride a few minutes before leaving the office for home.

9. Food ordering sites

Online food ordering applications and sites often send attractive notifications for breakfast, lunch and dinner time. This is possible with the help of artificial intelligence software, which monitors the time you crave for food. Not only that, the AI ​​also records the different types of food you like to eat and offers you similar alternative recipes.

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10. Vehicle identification

Deep learning and image recognition, subsets of artificial intelligence, are used in vehicle recognition systems. The traffic police uses this technology to scan the vehicle's number plate and analyze whether the vehicle has been detained before. The automobile industry uses vehicle identification to track the popularity of various models of vehicles they manufacture.

11. Self-driving cars

Artificial intelligence-based self-driving cars use deep learning, object identification, image detection, motion detection, etc. to perform tasks like transportation and package delivery. Driverless cars have a bright future as they have the potential to remove the 'human error' factor from traditional driving.

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12. Job Seeking Apps

Many job search sites use deep learning to learn more about the user and his needs. The software used by these apps allows users to get the best opportunities by suggesting the jobs they are interested in, the post they like, the employee who matches their criteria, etc.

The Final Takeaway

Machine Learning models can be effectively trained to perform better with the quantity of real data from users, thus enhancing Artificial Intelligence. The few best instances of artificial intelligence services in daily life that are all-pervasive and simplify the vast majority of our daily lives have been mentioned above. This alone serves as ample evidence that artificial intelligence is improving our quality of life and enabling us to concentrate on pressing issues.