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Exploring Future Opportunities of Brain-Inspired Artificial Intelligence - Madhulika Bhatia - Bog

Bag om Exploring Future Opportunities of Brain-Inspired Artificial Intelligence

Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781668469811
  • Indbinding:
  • Paperback
  • Sideantal:
  • 252
  • Udgivet:
  • 20. marts 2023
  • Størrelse:
  • 178x14x254 mm.
  • Vægt:
  • 482 g.
  • 8-11 hverdage.
  • 15. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
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Beskrivelse af Exploring Future Opportunities of Brain-Inspired Artificial Intelligence

Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

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