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Applications of artificial intelligence

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Artificial Intelligence[1] (AI) applications refer to the use of machine intelligence in performing tasks across various sectors. This includes industries like internet[4] and e-commerce, where AI powers recommendation systems and targeted advertising[2]. In finance and business operations, AI is used in high-frequency trading, underwriting, auditing, and anti-money laundering. It’s also transforming education through personalized AI tutors and aiding scientific research in fields like biochemistry and astronomy. AI is making strides in law enforcement, legal proceedings, human resources, and job search by enhancing accuracy and efficiency. AI applications are also prevalent in the service sector, including online customer[3] service and media content analysis. These applications use AI’s capabilities in understanding, learning, and making decisions, thereby revolutionizing numerous aspects of human life and work.

Terms definitions
1. Artificial intelligence ( Artificial Intelligence )
1 Artificial Intelligence (AI) refers to the field of computer science that aims to create systems capable of performing tasks that would normally require human intelligence. These tasks include reasoning, learning, planning, perception, and language understanding. AI draws from different fields including psychology, linguistics, philosophy, and neuroscience. The field is prominent in developing machine learning models and natural language processing systems. It also plays a significant role in creating virtual assistants and affective computing systems. AI applications extend across various sectors including healthcare, industry, government, and education. Despite its benefits, AI also raises ethical and societal concerns, necessitating regulatory policies. AI continues to evolve with advanced techniques such as deep learning and generative AI, offering new possibilities in various industries.
2 Artificial Intelligence, commonly known as AI, is a field of computer science dedicated to creating intelligent machines that perform tasks typically requiring human intellect. These tasks include problem-solving, recognizing speech, understanding natural language, and making decisions. AI is categorized into two types: narrow AI, which is designed to perform a specific task, like voice recognition, and general AI, which can perform any intellectual tasks a human being can do. It's a continuously evolving technology that draws from various fields including computer science, mathematics, psychology, linguistics, and neuroscience. The core concepts of AI include reasoning, knowledge representation, planning, natural language processing, and perception. AI has wide-ranging applications across numerous sectors, from healthcare and gaming to military and creativity, and its ethical considerations and challenges are pivotal to its development and implementation.
2. targeted advertising.
1 Targeted advertising is a marketing method that focuses on delivering promotional content to specific audiences. This strategy involves gathering and analyzing user data to tailor ads to individuals' interests, behaviors, and demographics. There are several types of targeted advertising, which include internet service providers tracking website visits, search engine marketing, and using platforms like Google's Search and Display Network.The technique also extends to social media, with platforms harnessing behavioral targeting and geotargeting. For instance, Facebook uses micro-targeting based on user data. Additionally, there are various targeted advertising techniques, such as content, contextual, technical, time, sociodemographic, and geographical targeting.Moreover, targeted advertising is prevalent in mobile and television sectors. Mobile ads utilize consumer location and time, while television ads focus on demographics and interests. Cable boxes and over-the-top video platforms also facilitate targeted advertising. All these methods aim to increase advertising efficiency and relevance.
2 "Targeted advertising" is a marketing strategy that involves gathering and analyzing user data to deliver personalized ads relevant to individual consumers. This strategy can be implemented across various channels such as search engines, social media, television, and mobile devices. Companies, internet service providers, and websites collect user data like preferences, behaviors, and demographics to make ads more relevant. Platforms like Google Ads allow advertisers to reach specific audiences, even retargeting specific website visitors. Social media platforms leverage user data for personalized advertising, allowing advertisers to target users based on interests, likes, demographics, and other factors. Television ads can target viewers based on age, gender, location, and interests, while mobile advertising uses location and time data to serve ads tailored to consumer schedules and environments.

Artificial intelligence (AI) has been used in applications throughout industry and academia. Similar to electricity or computers, AI serves as a general-purpose technology that has numerous applications. Its applications span language translation, image recognition, decision-making, credit scoring, e-commerce and various other domains.

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