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Artificial intelligence (AI) has been used in applications throughout industry and academia. AI, like electricity or computers, is a general-purpose technology that has a multitude of applications. It has been used in fields of language translation, image recognition, credit scoring, e-commerce and other domains.[1]

A recommendation system predicts the rating or preference a user would give to an item.[2][3] Artificial intelligence recommendation systems are designed to offer suggestions based on previous behavior. These systems have been used by companies such as Netflix, Amazon, and YouTube, where they generate personalized playlists, product suggestions, and video recommendations.[4][5]

Applications Of Artificial Intelligence Ppt Free Download

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In the education process, students can personalize their training with the help of artificial intelligence. And for teaching professionals, the technology provided by AI can improve the quality of the educational process and teaching skills.[63]

AI text detectors can be used to scan essays generated by artificial intelligence in order to try to establish genuine authorship. However, a study found that seven of the most used of these detectors often wrongly flagged articles written by those whose first language was not English as AI-generated, thus discriminating against so called 'non-native' English speakers.[64]

Financial institutions have long used artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation. The use of AI in banking began in 1987 when Security Pacific National Bank launched a fraud prevention taskforce to counter the unauthorized use of debit cards.[65] Kasisto and Moneystream use AI.

The use of AI in applications such as online trading and decision making has changed major economic theories.[70] For example, AI-based buying and selling platforms estimate individualized demand and supply curves and thus enable individualized pricing. AI machines reduce information asymmetry in the market and thus make markets more efficient.[71] The application of artificial intelligence in the financial industry can alleviate the financing constraints of non-state-owned enterprises. Especially for smaller and more innovative enterprises.[72]

Various countries are deploying AI military applications.[91] The main applications enhance command and control, communications, sensors, integration and interoperability.[92] Research is targeting intelligence collection and analysis, logistics, cyber operations, information operations, and semiautonomous and autonomous vehicles.[91] AI technologies enable coordination of sensors and effectors, threat detection and identification, marking of enemy positions, target acquisition, coordination and deconfliction of distributed Joint Fires between networked combat vehicles involving manned and unmanned teams.[92] AI was incorporated into military operations in Iraq and Syria.[91]

Worldwide annual military spending on robotics rose from US$5.1 billion in 2010 to US$7.5 billion in 2015.[95][96] Military drones capable of autonomous action are in wide use.[97] Many researchers avoid military applications.[92]

AI in healthcare is often used for classification, to evaluate a CT scan or electrocardiogram or to identify high-risk patients for population health. AI is helping with the high-cost problem of dosing. One study suggested that AI could save $16 billion. In 2016, a study reported that an AI-derived formula derived the proper dose of immunosuppressant drugs to give to transplant patients.[98] Current research has indicated that non-cardiac vascular illnesses are also being treated with artificial intelligence (AI). For certain disorders, AI algorithms can assist with diagnosis, recommended treatments, outcome prediction, and patient progress tracking. As AI technology advances, it is anticipated that it will become more significant in the healthcare industry.[99]

There are various types of applications for machine learning in decoding human biology, such as helping to map gene expression patterns to functional activation patterns[141] or identifying functional DNA motifs.[142] It is widely used in genetic research.[143]

Similarly, there is research and development of biological "wetware computers" that can learn (e.g. for use as biosensors) and/or implantation into an organism's body (e.g. for use to control prosthetics).[153][154][155] Polymer-based artificial neurons operate directly in biological environments and define biohybrid neurons made of artificial and living components.[156][157]

Artificial intelligence is used in astronomy to analyze increasing amounts of available data[165][166] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing between signals and instrumental effects in gravitational wave astronomy.[167] It could also be used for activities in space such as space exploration, including analysis of data from space missions, real-time science decisions of spacecraft, space debris avoidance,[168] and more autonomous operation.[169][170][171][166]

Artificial intelligence can also be used to investigate genomes to uncover genetic history, such as interbreeding between archaic and modern humans by which for example the past existence of a ghost population, not Neanderthal or Denisovan, was inferred.[197]

In November 2023, researchers at Google DeepMind and Lawrence Berkeley National Laboratory announced that they had developed an AI system known as GNoME. This system has contributed to materials science by discovering over 2 million new materials within a relatively short timeframe. GNoME employs deep learning techniques to efficiently explore potential material structures, achieving a significant increase in the identification of stable inorganic crystal structures. The system's predictions were validated through autonomous robotic experiments, demonstrating a noteworthy success rate of 71%. The data of newly discovered materials is publicly available through the Materials Project database, offering researchers the opportunity to identify materials with desired properties for various applications. This development has implications for the future of scientific discovery and the integration of AI in material science research, potentially expediting material innovation and reducing costs in product development. The use of AI and deep learning suggests the possibility of minimizing or eliminating manual lab experiments and allowing scientists to focus more on the design and analysis of unique compounds.[206][207][208]

Machine learning is used in diverse types of reverse engineering. For example, machine learning has been used to reverse engineer a composite material part, enabling unauthorized production of high quality parts,[209] and for quickly understanding the behavior of malware.[210][211][212] It can be used to reverse engineer artificial intelligence models.[213] It can also design components by engaging in a type of reverse engineering of not-yet existent virtual components such as inverse molecular design for particular desired functionality[214] or protein design for prespecified functional sites.[138][139] Biological network reverse engineering could model interactions in a human understandable way, e.g. bas on time series data of gene expression levels.[215]

AI has simplified the recruiting /job search process for both recruiters and job seekers. According to Raj Mukherjee from Indeed, 65% of job searchers search again within 91 days after hire. An AI-powered engine streamlines the complexity of job hunting by assessing information on job skills, salaries, and user tendencies, matching job seekers to the most relevant positions. Machine intelligence calculates appropriate wages and highlights resume information for recruiters using NLP, which extracts relevant words and phrases from text. Another application is an AI resume builder that compiles a CV in 5 minutes.[223] Chatbots assist website visitors and refine workflows.

After being unable to cover every Minor League Baseball game with a large team of people, Associated Press collaborated with Automated Insights in 2016 to create game recaps that were automated by artificial intelligence.[275]

Millions of its articles have been edited by bots[280] which however are usually not artificial intelligence software. Many AI platforms use Wikipedia data,[281] mainly for training machine learning applications. There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences,[282] detecting covert vandalism[283] or recommending articles and tasks to new editors.

Power electronics converters are used in renewable energy, energy storage, electric vehicles and high-voltage direct current transmission. These converters are failure-prone, which can interrupt service and require costly maintenance or catastrophic consequences in mission critical applications.[citation needed] AI can guide the design process for reliable power electronics converters, by calculating exact design parameters that ensure the required lifetime.[309]

Artificial intelligence supported design of aircraft,[347] or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process. The software also allows the user to focus less on the software tools. The AIDA uses rule-based systems to compute its data. This is a diagram of the arrangement of the AIDA modules. Although simple, the program is proving effective.

Autonomous ships that monitor the ocean, AI-driven satellite data analysis, passive acoustics[352] or remote sensing and other applications of environmental monitoring make use of machine learning.[353][354][355][171]

GitHub Copilot is an artificial intelligence model developed by GitHub and OpenAI that is able to autocomplete code in multiple programming languages.[372] Price for individuals: $10/mo or $100/yr, with one free month trial. 2351a5e196