Electronics

8 AI Applications That are Part of Our Daily Life

Last updated on January 16th, 2023 at 07:50 pm

Artificial intelligence may appear like a futuristic idea unrelated to our world.

However, the reality is that artificial intelligence is present in many aspects of our daily life.

We now unknowingly rely on multiple AI models, from Netflix’s movie recommendations to Amazon’s Alexa. We’ll look at eight instances of artificial intelligence in this piece.

How can artificial intelligence be defined?

Building intelligent machines is the focus of the vast field of artificial intelligence in computer science.

These machines can learn from experience, adapt to new inputs, and carry out jobs like a person because of AI.

For instance, deep learning and natural language processing are crucial to the operation of self-driving automobiles and chess-playing computers.

Robots: Do They Represent Artificial Intelligence?

No, not quite. Robotics and artificial intelligence are two fundamentally different disciplines.

Robotics is a field of technology that deals with actual robots, which are programmable machines made to carry out various activities.

On the other hand, AI entails creating software to carry out actions that otherwise call for human intelligence.

Read: 10 Lessons to Learn from the Failures of Big Tech

What Purposes Does Artificial Intelligence Serve?

Many artificial intelligence examples currently impact our lives.

These consist of FaceID on iPhones, Google’s search algorithm, and Netflix’s recommendation algorithm.

Additional instances of how AI is used now may be seen on social media, in digital assistants like Alexa, and ride-hailing services like Uber.

1. Face detection and recognition software:

Modern applications of AI include the FaceID unlock on iPhones and the virtual filters on Snapchat.

The former employs face detection technology to identify any face, while the latter depends on facial recognition.

The TrueDepth camera in Apple iPhones creates a depth map of your face using over 30,000 invisible dots.

A machine-learning method is then used to compare the face scan to previously gathered facial data.

It may decide whether or not to unlock the device in this way. FaceID, according to Apple, instantly adapts to changes in a user’s look.

These include the use of cosmetics, the growth of facial hair, and the wearing of headgear, eyewear, or contact lenses.

Read: Meta Agrees to Pay $725M in Cambridge Analytica Lawsuit Settlement

2. Text Editor:

To offer the finest writing experience, several text editors currently use artificial intelligence.

Editors of documents, for instance, can identify poor grammatical usage and offer improvements using an NLP system. 

Some writing programs also score readability and plagiarism in addition to auto-correction.

3. Social Networking:

Artificial intelligence is used extensively by social networking sites like Facebook, Twitter, and Instagram for various activities.

These social media sites currently employ AI to customize what you see in your feeds.

The model determines their interests and suggests related information to keep users interested.

Researchers have also taught AI systems to recognize hateful words, phrases, and symbols in several languages.

In this approach, the algorithm can quickly remove hate speech-containing social media posts.

Artificial intelligence will be used to detect mental health issues on a social networking platform. 

As an illustration, an algorithm could examine submitted and read a text to find suicidal tendencies.

Read: 9 Necessary Gadgets to Have in An 18 Wheeler Truck

4. Chatbots:

Directly asking customer service contact questions can take a lot of time. Artificial intelligence can help with it. 

Natural language processing is a technique that computer scientists use to teach chat robots or chatbots to mimic the conversational patterns of customer service employees.

Chatbots can now respond to queries requiring more information than a yes or no. 

Additionally, the bots can learn from previous negative reviews to guarantee the highest level of client happiness.

As a result, machines increasingly carry out everyday activities like receiving and tracking orders.

5. Advisory Algorithm:

The innovative recommendation system used by media streaming services like Netflix, YouTube, and Spotify is AI-powered.

The system begins by gathering information about user interests and behavior through various online activities. 

The data is then analyzed by machine learning and deep learning algorithms to forecast preferences.

You can always find movies on Netflix’s suggested viewing list that you’re likely to enjoy. 

Read: How to Prepare for Link Building Declining Influence on SEO

6. Search Method:

Search algorithms ensure that the most relevant results appear at the top of the search engine result page (SERP). However, how can this occur?

To identify high-quality information, search engines often use some quality control algorithms.

The best search results are then presented, along with the most incredible user experience, in a list format.

Search engines rely on natural language processing (NLP) technology to comprehend requests because they are entirely composed of codes.

Bidirectional Encoder Representations from Transformers (BERT), an NLP pre-training method, was introduced by Google last year. 

The technology currently drives practically all English-based Google Search queries.

7. Electronic assistants:

Siri from Apple became the first digital assistant to be pre-installed on a smartphone in October 2011.

But since then, voice assistants have advanced significantly. Today’s Google Assistant uses cutting-edge NLP and ML to learn human language.

It comprehends not only complex commands but also produces acceptable results.

Digital assistants can now analyze user preferences, routines, and schedules thanks to their adaptable capabilities. 

They can design and manage actions like calendars, prompts, and reminders.

Read: Mastering in Pro Tools 11 Plugins, formats, interface and more

8. Smart home technology:

Many smart home appliances now use AI apps to reduce energy use.

For instance, smart thermostats like Nest change the temperature of our homes based on our daily routines and preferences for heating and cooling. 

Similarly, intelligent refrigerators can generate shopping lists based on items missing from their shelves.

Our domestic application of artificial intelligence is still developing.

Nowadays, more AI programs study human behavior and work accordingly.

Conclusion:

Whether you’re browsing the internet or using Spotify to listen to music, we come across AI every day.

Other artificial intelligence applications can be seen in banking and finance, e-commerce, intelligent keyboard apps, and innovative email programs. 

Our judgments and way of life are now significantly influenced by artificial intelligence.

 

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