10 examples of artificial intelligence that you use in daily life

10 examples of artificial intelligence that you use in daily life.

Artificial Intelligence (AI) may seem like science fiction, but you'll be surprised you already use it. AI has a big impact on your life, whether you are aware of it or not, and its influence is likely to increase in the years to come. Here are 10 examples of artificial intelligence that you already use every day.

Virtual personal assistant

Siri, Google Now and Cortana are intelligent digital personal assistants on various platforms (iOS, Android and Windows Mobile). In short, they help you find useful information when you ask for it with your voice. You can say, "Where's the nearest Chinese restaurant?", "What's on my schedule today?", "Remind me to call Jerry at eight," and the assistant answers by finding information from your phone forwards or sends commands to other apps.

AI is important in these apps because they collect information about your requests and use that information to better understand your language and deliver results that are tailored to your preferences. Microsoft says that Cortana "constantly learns about its user" and that it will eventually develop the ability to anticipate users' needs. Virtual personal assistants process a large amount of data from a variety of sources to learn about users and help them more effectively organize and track their information.

video Games

One of the AI??instances most people are probably familiar with is the video game AI, which has been used for a very long time - since the very first video games. But the complexity and effectiveness of this AI has grown exponentially over the past decades, resulting in video game characters that learn their behavior, respond to stimuli, and react in unpredictable ways. 2014 Middle-earth: Shadow of Mordor is especially notable for the individual personalities of each non-player character, their memories of the past interaction and their variable goals.

First-person shooters like Far Cry and Call of Duty also use AI with enemies who can analyze their surroundings to find objects or actions that might be useful for their survival. They will take cover, investigate sounds, use flanking maneuvers and communicate with other AI's to increase their chances of winning. As far as AI is concerned, video games are a bit simplistic, but due to the large market of the industry, every year a lot of effort and money is invested to perfect this kind of AI. Smart cars You probably have not seen anyone reading the paper while you drive to work, but self-driving cars are getting closer to reality; Google's self-driving car project and Tesla's "autopilot" feature are two recent examples in the news. Earlier this year, the Washington Post reported on an algorithm developed by Google that would allow self-driving cars to learn to drive in the same way as people: through experience. The AI??detailed in this article has learned to play simple video games, and Google will test the same intelligence before it takes to the streets. The idea is that eventually the car will be able to "see" the road ahead of it and make decisions based on what it sees and helps to learn. While Tesla's autopilot function is not quite as advanced, it's already being used on the road, indicating that these technologies are on their way. Purchase Forecast Big retailers like Target and Amazon make a lot of money if they can anticipate your needs. Amazon's forward-looking shipping project hopes to send you products before you need them, completely eliminating the need for a last-minute trip to the online store. While this technology is not yet available, stationary dealers use the same ideas with coupons; When you go to the store, you often receive a number of coupons that have been selected by a predictive analytics algorithm.

This can be used in a variety of ways, whether you're sending coupons, offering discounts, targeting ads, or stocking warehouses near your home with products you're likely to buy. As you can imagine, this is a rather controversial use of AI, making many people nervous about potential privacy breaches through the use of predictive analytics. Discovery of a scam Have you ever received an e-mail or letter asking if you made a specific purchase on your credit card? Many banks send these kinds of messages when they think fraud might have happened on your account and want to make sure you approve the purchase before sending money to another company. Artificial intelligence is often the technology to oversee this type of scam. In many cases, computers receive a very large sample of fraudulent and non-fraudulent purchases and are asked to learn to look for signs that a transaction falls into one category or another. After sufficient training, the system will be able to detect a fraudulent transaction based on the signs and indications it has experienced through the training exercise. Online Customer Support Many websites now offer customers the option of talking to a relationship manager while they surf - but not every page actually has an active person on the other end of the line. In many cases, you speak with a rudimentary AI. Many of these chat support bots are little more than automated responders, but some of them are actually able to extract knowledge from the website and present it to customers when they ask for it. Interestingly, these chat bots need to understand the natural language, which is a pretty tricky endeavor; The way that customers talk and the way computers talk is very different, and it's not easy to teach a machine to translate between the two. But with rapid advances in natural language processing (NLP) these bots are getting better and better.

News generation Did you know that artificial intelligence programs can write messages? According to Wired, the AP, Fox and Yahoo! All use artificial intelligence to write simple stories such as financial summaries, sports reports and fantasy sports reports. AI does not write any profound investigative articles, but it has no problem with very simple articles that do not require much synthesis. Automated Insights, the company behind the Wordsmith software, says e-commerce, financial services, real estate and other "data-driven" industries are already benefiting from the app. Of course, Wordsmith still needs a lot of help from a real author to get setup and give him the Matrix article into which the data is inserted. However, the concept has been proven and it is likely that we will see more and more reports generated in this way. Going beyond data-driven areas will require major technological advances, but the foundations have been laid, and it seems only a matter of time before fully automated reporters become a reality. safeguards A single person monitoring a number of video cameras is not a very secure system; People get bored quickly, and monitoring multiple monitors can be difficult even under the best of circumstances. That's why training computers are very useful for monitoring these cameras. With supervised training exercises, safety algorithms can record inputs from surveillance cameras and determine if there is a danger - if they "see" a warning signal, they will alert the security officers. Of course, the number of things these computers can reach is pretty limited at the moment - Wired says there are patches of color that indicate an intruder or someone running around a schoolyard. Identifying actions that could imply a thief in a store is probably beyond the current technological limits, but do not be surprised if this type of technology comes on the market in the near future.

Music and movie recommendation services While fairly simple compared to other AI systems, apps like Spotify, Pandora, and Netflix do a useful job of recommending music and movies based on the interests you've expressed in the past. By monitoring the decisions you make and including them in a learning algorithm, these apps make recommendations that you're likely to be interested in. Much of this functionality depends on man-made factors. For example, a song might have listed "driving bass", "dynamic vocals" and "guitar riffs" as features; If you like the song, you will probably like other songs that have the same characteristics. This is the basis of many recommendation services; And though it's not futuristic, it helps pretty much to discover new music and movies. Intelligent home appliances Many smart home devices now offer the opportunity to learn your patterns of behavior and help you save money by adjusting your thermostat or other device settings to increase comfort and save energy. For example, it is very handy if you turn on the oven when you leave work instead of waiting to get home. A thermostat that knows when you are at home and adjusting the temperature accordingly can help you save money by not heating the house when you are outside. Lighting is another place where you can see basic artificial intelligence; Setting default settings and presets allows you to customize the lights around your home (inside and outside) depending on where you are and what you are doing; Dimmers for watching TV, lighter for cooking and for dining somewhere in the middle. The use of AI in smart homes is limited only by our imagination. AI: Daily provision of millions Your smartphone, car, bank, and home use artificial intelligence every day; Sometimes it's obvious what it does, like asking Siri to take you to the nearest gas station. Sometimes it is less obvious, for example, if you make an unusual purchase on your credit card and do not receive a scam from your bank. AI is everywhere and makes a big difference in our lives every day.

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