5 Examples of AI In Our Everyday Lives

Blog•2018-01-07

Category•Blog

Artificial intelligence (AI) is changing business as we know it, but what many people don’t realize — or at least don’t think about — is how AI is also impacting our lives outside of the office. Below we consider some examples of artificial intelligence in everyday life, so we can see how the technology is impacting our personal world each day.

What are the examples of AI in everyday life?

There are plenty of example of AI in everyday life. For example, smart home technology such as robot vacuums and smart thermostats are increasingly using AI to make your life easier and more comfortable. On the roads, AI is a technology used in futuristic self-driving cars, and number plate recognition systems.

What is machine learning?

Machine learning is the most well-known type of artificial intelligence. It is used in everything from self-driving cars to marketing software. At its core, it’s about teaching computers to program themselves to make decisions or perform actions based on its existing knowledge. Several examples of AI in everyday life use machine learning, such as smart thermostats like Nest and transportation apps such as Uber.

How is AI used in the real world?

AI, or artificial intelligence, is used in the real world in many ways. Firstly, in professional life it has become an invaluable tool for marketers, analysts, bankers, engineers and more. In our personal lives, it powers the virtual assistant smart speakers people have at home, shapes the recommendations we get when shopping online or listening to music, and more.

Five artificial intelligence examples

<li>Self-Driving and Parking Vehicles</li> Self-driving and parking cars use deep learning, a subset of AI, to recognize the space around a vehicle. Technology company Nvidia uses AI to give cars “the power to see, think, and learn, so they can navigate a nearly infinite range of possible driving scenarios,” Nvidia explains on its website. The company’s AI-powered technology is already in use in cars made by Toyota, Mercedes-Benz, Audi, Volvo, and Tesla, and is sure to revolutionize how people drive — and enable vehicles to drive themselves. <iframe width="560" height="315" src="https://www.youtube.com/embed/fmVWLr0X1Sk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> <li>Digital Assistants</li> Apple’s Siri, Google Now, Amazon’s Alexa, and Microsoft’s Cortana are one of the main examples of AI in everyday life. These digital assistants help users perform various tasks, from checking their schedules and searching for something on the web, to sending commands to another app. AI is an important part of how these apps work because they learn from every single user interaction. This allows them to better recognize speech patterns and serve users results that are tailored to their preferences. Microsoft says that Cortana “continually learns about its user” and that it will eventually anticipate user needs. <li>Vehicle Recognition Identification</li> Companies such as PlateSmart, IntelliVision, and Sighthound, among others, use computer vision — a form of AI that can see and understand images — along with deep learning to turn conventional surveillance into vehicle monitoring. This is a very important part of integrated traffic systems and a big help to authorities as well, as surveillance videos are now searchable for specific plate numbers. That’ll make you think twice about blowing through that red light. <li>Robot vacuums</li> We all have to clean, right? So, robot vacuums are a great example of AI affecting everyday life. The Roomba 980 model vacuum (the one that cleans your floor on its own) uses AI to scan a living area’s size, look for objects that might be in the way, and remember the best route for cleaning the carpet. The vacuum bot can also identify how much cleaning it needs to do based on the size of the room, repeating a cleaning cycle three times in smaller rooms or cleaning twice in a medium-sized room. <iframe width="560" height="315" src="https://www.youtube.com/embed/RwRKX2z3XOM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> <li>Transportation</li> Machine learning, another subset of AI, powers some of the magic that happens inside of apps like Uber. “[AI and machine learning] are critical to supporting Uber’s mission of developing reliable transportation solutions for everyone, everywhere,” the company explains on its Uber Engineering site. “… We use ML to enable an efficient ride-sharing marketplace, identify suspicious or fraudulent accounts, suggest optimal pickup and drop-off points, and even facilitate more delicious UberEATS delivery by recommending restaurants and predicting wait times so your food can get to you when you need it.” <iframe width="560" height="315" src="https://www.youtube.com/embed/ydsrZcKLqi0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> <hr> This article was published in Adobe Experience Cloud Blog on January 07, 2018

Author: Giselle Abramovich