10 Examples Of AI In Our Daily Lives - Creator Hub

Artificial intelligence (AI), which is revolutionizing business, is changing the way we do business. But what most people don't see or think about is how AI is also affecting our daily lives.

We will be taking a look at five ways that Artificial Intelligence is affecting our lives every day.



1. Navigation and maps

maps and navigation have greatly improved travel. No longer do you need maps or printed directions? Instead of relying on printed directions or maps, you can use Waze and Google Maps on your phone to get to your destination.

How does an application know where to go? Previously, satellite-based GPS was all that was available.

Machine Learning allows the algorithms to recall the edges and numbers it has seen. It can recognize changes in traffic flow to recommend routes to avoid roadblocks and congestion.

2. Parking and self-driving vehicles

Deep learning, which is a subset of AI, is used to detect the area around a car and make self-driving or parking cars. Nvidia, a technology company, uses AI to give cars the "power to see, think and learn so they can navigate almost infinite driving scenarios," Nvidia explained on its website. Nvidia's AI-powered technology has been used in vehicles made by Toyota, Mercedes-Benz, and Audi as well as Volvo and Tesla. It is expected to revolutionize the way people drive and allow cars to drive themselves.

3. Recognition and facial detection

Artificial intelligence has become a part of our daily lives. FaceID allows us to unlock our phones, and virtual filters can also be applied to our faces when taking photos. Face detection can be used to identify any human facial features. Face recognition is used for identifying a specific face. Face recognition is used for identifying a specific face. Facial recognition technology is used in airports and government facilities to provide security and surveillance.

4. Digital assistants

Apple's Siri and Google Now, Amazon Alexa, and Microsoft Cortana are digital assistants. They can help users with a variety of tasks. These include checking their schedules, searching the internet, sending commands, and even searching for things on the web. These apps use AI to learn from each user interaction. This allows them to recognize speech patterns better and provide users with results that best suit their needs. Microsoft claims that Cortana "continually learns" about users and will eventually anticipate their needs.

5. Autocorrect or Text Editors

AI algorithms use deep learning, machine learning, and natural language processing to spot errors in language usage and suggest corrective actions in word processors. Editors will also notice if you use a wrong comma.

6. Vehicle Recognition Identification

Did you know that AI is used to read license plates by many traffic cameras in your area? Sighthound, IntelliVision, and PlateSmart are just a few of the companies that use computer vision. This is an AI form that can understand and see images. It also uses deep learning to turn traditional surveillance into vehicle monitoring. This is a crucial part of integrated traffic systems. This will make it less likely that you'll run into a red light.

7. Robots

The Roomba 980 vacuum, which cleans your floors on its own, uses AI to scan the area, find objects, and then remember the best way to clean them. It can determine how much cleaning is needed based on the room's size. For example, it will repeat a cleaning cycle three more times in small rooms and clean twice in medium-sized rooms.

8. Search and Recommendation Algorithms

You may have noticed that recommendations, when you shop online or view a movie, are often based on your past searches and interests.

9. Transport

Another subset of AI is machine learning. It powers some of the magic inside apps like Uber.

"[AI] and machine learning are essential to support Uber's mission to develop reliable transportation solutions that everyone can use," the company explained on its Uber Engineering website. "...ML is used for creating a ride-sharing platform and detecting suspicious accounts to suggest the best pick-up and drop-off locations. It also helps to predict wait times and recommend restaurants so you can have your food delivered when you need it.

10. Chatbots

Customers can find customer service stressful and time-consuming. Customers find this time-consuming, costly, and difficult. Artificially intelligent chatbots have become more popular. These algorithms enable machines to answer frequently asked questions, track orders, and make direct calls.

Natural Language Processing (NLP), is used to teach chatbots to imitate customer service reps' conversational style. Advanced chatbots don't require any inputs (e.g. yes/no question). Complex questions

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