Applications of artificial intelligence information
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Part of a series on
Artificial intelligence
Major goals
Artificial general intelligence
Intelligent Agent
Recursive self-improvement
Planning
Computer vision
General game playing
Knowledge reasoning
Natural language processing
Robotics
AI safety
Approaches
Machine learning
Symbolic
Deep learning
Bayesian networks
Evolutionary algorithms
Situated approach
Hybrid intelligent systems
Systems integration
Applications
Projects
Deepfake
Machine translation
Generative AI
Art
Audio
Music
Healthcare
Mental health
Government
Industry
Earth sciences
Bioinformatics
Physics
Philosophy
Chinese room
Friendly AI
Control problem/Takeover
Ethics
Existential risk
Turing test
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AI winter
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Glossary
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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,[1] credit scoring, e-commerce and various other domains. AI which accommodates such technologies as machines being equipped perceive, understand, act and learning a scientific discipline.[2]
^Shin, Minkyu; Kim, Jin; van Opheusden, Bas; Griffiths, Thomas L. (2023). "Superhuman artificial intelligence can improve human decision-making by increasing novelty". Proceedings of the National Academy of Sciences. 120 (12): e2214840120. arXiv:2303.07462. Bibcode:2023PNAS..12014840S. doi:10.1073/pnas.2214840120. PMC 10041097. PMID 36913582.
^Brynjolfsson, Erik; Mitchell, Tom (22 December 2017). "What can machine learning do? Workforce implications". Science. 358 (6370): 1530–1534. Bibcode:2017Sci...358.1530B. doi:10.1126/science.aap8062. PMID 29269459.
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