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Artificial intelligence

Artificial intelligence
Intelligence of machines Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs. The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, impacting job markets, healthcare, government, industry, and education. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology. Goals Reasoning and problem solving Learning Perception Logic Related:  Our final invention{t} AIThe problems with philosophy

Speech recognition Automatic conversion of spoken language into text Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. Speech recognition applications include voice user interfaces such as voice dialing (e.g. The term voice recognition[3][4][5] or speaker identification[6][7][8] refers to identifying the speaker, rather than what they are saying. From the technology perspective, speech recognition has a long history with several waves of major innovations.

European Laboratory for Learning and Intelligent Systems From Wikipedia, the free encyclopedia European non-profit promoting AI research in Europe The European Laboratory for Learning and Intelligent Systems (ELLIS) is a pan-European nonprofit organization for the promotion of artificial intelligence with a focus on machine learning. History[edit] The organization was inspired by the Learning in Machines and Brains program of the Canadian Institute for Advanced Research. It was founded on 6 December 2018 at the Conference on Neural Information Processing Systems (NeurIPS).[4] Board[edit] The members of the board are:[5] ELLIS research groups[edit] ELLIS has set up so-called ELLIS units, research groups, at 30 locations. These institutions will invest 300 million euros in artificial intelligence research over the next 5 years.[6] Research programmes[edit] ELLIS set up 11 research programmes. References[edit]

Computer program Instructions to be executed by a computer Example computer program[edit] 10 INPUT "How many numbers to average?", A20 FOR I = 1 TO A30 INPUT "Enter number:", B40 LET C = C + B50 NEXT I60 LET D = C/A70 PRINT "The average is", D80 END Once the mechanics of basic computer programming are learned, more sophisticated and powerful languages are available to build large computer systems.[8] History[edit] Improvements in software development are the result of improvements in computer hardware. Analytical Engine[edit] In 1837, Charles Babbage was inspired by Jacquard's loom to attempt to build the Analytical Engine.[9] The names of the components of the calculating device were borrowed from the textile industry. Ada Lovelace worked for Charles Babbage to create a description of the Analytical Engine (1843).[13] The description contained Note G which completely detailed a method for calculating Bernoulli numbers using the Analytical Engine. Universal Turing machine[edit] ENIAC[edit] Sac State 8008[edit]

Speech synthesis Artificial production of human speech A synthetic voice announcing an arriving train in Sweden. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech.[1] The reverse process is speech recognition. The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood clearly. History[edit] Long before the invention of electronic signal processing, some people tried to build machines to emulate human speech. In the 1930s Bell Labs developed the vocoder, which automatically analyzed speech into its fundamental tones and resonances. Dr. Electronic devices[edit] Synthesizer technologies[edit] Concatenation synthesis[edit] Diphone synthesis[edit]

DALLĀ·E 2 Research Advancements Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen Engineering, Design, Product, and Prototyping Jeff Belgum, Dave Cummings, Jonathan Gordon, Chris Hallacy, Shawn Jain, Joanne Jang, Fraser Kelton, Vishal Kuo, Joel Lehman, Rachel Lim, Bianca Martin, Evan Morikawa, Rajeev Nayak, Glenn Powell, Krijn Rijshouwer, David Schnurr, Maddie Simens, Kenneth Stanley, Felipe Such, Chelsea Voss, Justin Jay Wang Comms, Policy, Legal, Ops, Safety, and Security Steven Adler, Lama Ahmad, Miles Brundage, Kevin Button, Che Chang, Fotis Chantzis, Derek Chen, Frances Choi, Steve Dowling, Elie Georges, Shino Jomoto, Aris Konstantinidis, Gretchen Krueger, Andrew Mayne, Pamela Mishkin, Bob Rotsted, Natalie Summers, Dave Willner, Hannah Wong Acknowledgments

Theoretical computer science Subfield of computer science and mathematics An artistic representation of a Turing machine. Turing machines are used to model general computing devices. Theoretical computer science (TCS) is a subset of general computer science and mathematics that focuses on mathematical aspects of computer science such as the theory of computation, lambda calculus, and type theory. It is difficult to circumscribe the theoretical areas precisely. TCS covers a wide variety of topics including algorithms, data structures, computational complexity, parallel and distributed computation, probabilistic computation, quantum computation, automata theory, information theory, cryptography, program semantics and verification, algorithmic game theory, machine learning, computational biology, computational economics, computational geometry, and computational number theory and algebra. History[edit] Information theory was added to the field with a 1948 mathematical theory of communication by Claude Shannon.

Transhumanism Transhumanism (abbreviated as H+ or h+) is an international cultural and intellectual movement with an eventual goal of fundamentally transforming the human condition by developing and making widely available technologies to greatly enhance human intellectual, physical, and psychological capacities.[1] Transhumanist thinkers study the potential benefits and dangers of emerging technologies that could overcome fundamental human limitations, as well as the ethics of developing and using such technologies. They speculate that human beings may eventually be able to transform themselves into beings with such greatly expanded abilities as to merit the label "posthuman".[1] History[edit] According to Nick Bostrom,[1] transcendentalist impulses have been expressed at least as far back as in the quest for immortality in the Epic of Gilgamesh, as well as historical quests for the Fountain of Youth, Elixir of Life, and other efforts to stave off aging and death. First transhumanist proposals[edit]

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by raviii Apr 24

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