This includes adaptive learning, pattern recognition, natural language processing, speech and image recognition, and problem solving – all modeled on human reasoning – usually to advance the functional capabilities of devices, machinery, and systems.
A subset of A.I. called Machine Learning uses the principles of A.I. to teach machines and systems how to recognize and "learn" new information in order to apply that learning to relevant activities. This benefits people, businesses, and governments by not only empowering machines to perform tasks more accurately, rapidly, and consistently than is humanly possible, but also by having them perform tasks in environments dangerous to human life, such as space, deep oceanic areas, war zones, and locations with low oxygen or poisonous atmospheres.
The benefits, uses, and challenges of artificial intelligence continue to evolve, with applications arising in every business, education, research, or government field traditionally guided by human thinking. From autonomous aircraft, boats, and space vehicles to robotic exploration tools and adaptive sensor technologies, A.I. is expected to continue growing in capabilities and importance for years to come.
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