Applications of Artificial intelligence (AI)

As noted earlier, AI is everywhere today, but a number of it’s been around for extended than you think that. Here are just a couple of the foremost common examples:

1. Speech recognition: Also called speech-to-text (STT), speech recognition is AI technology that recognizes spoken words and converts them to digitized text. Speech recognition is that the capability that drives computer dictation software, TV voice remotes, voice-enabled text messaging and GPS, and voice-driven phone answering menus.
2. Natural language processing (NLP): NLP enables a software application, computer, or machine to understand, interpret, and generate human text. NLP is the AI behind digital assistants (such because the aforementioned Siri and Alexa), chatbots, and other text-based virtual assistance. Some NLP uses sentiment analysis to detect the mood, attitude, or other subjective qualities in language.
3. Image recognition (computer vision or machine vision): AI technology that will identify and classify objects, people, writing, and even actions within still or moving images. Typically driven by deep neural networks, image recognition is employed for fingerprint ID systems, mobile check deposit apps, video and medical image analysis, self-driving cars, and far more.
   
   
4. Real-time recommendations: Retail and entertainment internet sites use neural networks to recommend additional purchases or media likely to appeal to a customer supported by the customer’s past activity, the past activity of other customers, and myriad other factors, including time of day and therefore the weather. Research has found that online recommendations can increase sales anywhere from 5% to 30%.
5. Virus and spam prevention: Once driven by rule-based expert systems, today’s virus and spam detection software employ deep neural networks which will learn to detect new sorts of viruses and spam as quickly as cybercriminals can dream them up.
6. Automated stock trading: Designed to optimize stock portfolios, AI-driven high-frequency trading platforms make thousands or maybe many trades per day without human intervention.
   
   
7. Ride-share services: Uber, Lyft, and other ride-share services use AI to match up passengers with drivers to attenuate wait times and detours, provide reliable ETAs, and even eliminate the need for surge pricing during high-traffic periods.
8. Household robots: iRobot’s Roomba vacuum uses AI to work out the dimensions of an area, identify and avoid obstacles, and learn the foremost efficient route for vacuuming a floor. Similar technology drives robotic lawnmowers and pool cleaners.
9. Autopilot technology: This has been flying commercial and military aircraft for decades. Today, autopilot uses a mixture of sensors, GPS technology, image recognition, collision avoidance technology, robotics, and tongue processing to guide an aircraft safely through the skies and update the human pilots as needed. Depending on who you ask, today’s commercial pilots spend as little as three and a half minutes manually piloting a flight.
10. Healthcare: AI is used to analyze medical images, predict patient outcomes, and diagnose diseases. AI algorithms can also help in drug discovery and personalized treatment plans.
11. Finance: AI is widely used in the finance industry for credit scoring, fraud detection, and algorithmic trading. AI can also help financial institutions to manage risks and make better investment decisions.
12. Retail: AI is used in retail for customer service, product recommendations, and supply chain optimization. AI algorithms can analyze customer behavior and purchase history to provide personalized recommendations and improve the overall shopping experience.
13. Manufacturing: AI is used in manufacturing to improve production efficiency, optimize supply chain management, and enhance product quality. AI algorithms can also predict maintenance needs and reduce downtime.
14. Transportation: AI is used in transportation to optimize routes, reduce fuel consumption, and enhance traffic flow. AI algorithms can also be used in autonomous vehicles and drone technology.
15. Energy: AI is used in the energy industry to optimize energy generation, distribution, and consumption. AI algorithms can also help predict and prevent equipment failures, reduce energy waste, and enhance overall efficiency.
16. Security: AI is used in security to improve threat detection, prevent cyber attacks, and enhance surveillance. AI algorithms can also be used to analyze large amounts of data to identify patterns and trends that can help prevent security breaches.
17. Education: AI is used in education to personalize learning experiences, provide real-time feedback, and enhance student engagement. AI algorithms can also help teachers grade assignments and provide individualized instruction.
18. Marketing: AI is used in marketing to analyze consumer behavior, provide personalized recommendations, and enhance target marketing. AI algorithms can also help companies to predict consumer preferences and improve the overall customer experience.