Science and Technology Notes PDF for UPSC Civil Services Exam

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SCIENCE AND TECHNOLOGY ARTIFICIAL INTELLIGENCE 

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THE INTERNET OF THINGS (IOT)

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Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.  AI can be categorized as either weak or strong. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple's Siri, are a form of weak AI. Strong AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities. When presented with an unfamiliar task, a strong AI system is able to find a solution without human intervention.  Because hardware, software and staffing costs for AI can be expensive, many vendors are including AI components in their standard offerings, as well as access to Artificial Intelligence as a Service (AIaaS) platforms. AI as a Service allows individuals and companies to experiment with AI for various business purposes and sample multiple platforms before making a commitment. Popular AI cloud offerings include Amazon AI services, IBM Watson Assistant, Microsoft Cognitive Services and Google AI services.  Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is Weak AI, the form of AI where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading platforms, robot control, and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. Applications of Artificial Intelligence in following fields:  AI for Agriculture  Handwriting recognition  Aviation  Speech recognition  Computer science  Face recognition  Deepfake  Artificial creativity  Education  Computer vision, virtual reality, and image processing  Finance  Photo and video manipulation  Algorithmic trading  Diagnosis (artificial intelligence)  Market analysis and data mining  Game theory and strategic planning  Personal finance  Game artificial intelligence and computer game bot  Portfolio management  Natural language processing, translation and chatterbots  Underwriting  Nonlinear control and robotics  History  Artificial life  Government  Automated reasoning  Heavy industry  Automation, Self Driving Vehicles  Hospitals and medicine  Bio-inspired computing  Human resources and recruiting  Concept mining  Job search  Data mining  Marketing  Knowledge representation  Media and e-commerce  Semantic Web  Military  Email spam filtering  Music  Robotics  News, publishing and writing  Behavior-based robotics  Online and telephone customer service  Cognitive  Power electronics  Cybernetics  Sensors  Developmental robotics (Epigenetic)  Telecommunications maintenance  Evolutionary robotics  Toys and games  Hybrid intelligent system  Transportation  Intelligent agent List of applications in Other Areas:  Intelligent control  Optical character recognition  Litigation

Internet of Things (IoT) is an ecosystem of connected physical objects that are accessible through the internet. The ‘thing’ in IoT could be a person with a heart monitor or an automobile with built-in-sensors, i.e. objects that have been assigned an IP address and have the ability to collect and transfer data over a network without manual assistance or intervention. The embedded technology in the objects helps them to interact with internal states or the external environment, which in turn affects the decisions taken. The term "Internet of things" was coined by Kevin Ashton of Procter & Gamble, later MIT's Auto-ID Center, in 1999, though he prefers the phrase "Internet for things". At that point, he viewed Radio-frequency identification (RFID) as essential to the Internet of things,[14] which would allow computers to manage all individual things. The Internet of things (IoT) is the extension of Internet connectivity into physical devices and everyday objects. Embedded with electronics, Internet connectivity, and other forms of hardware (such as sensors), these devices can communicate and interact with others over the Internet, and they can be remotely monitored and controlled. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the "smart home", covering devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances) that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers.

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