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Exploring Future Opportunities of Brain-Inspired Artificial Intelligence

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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  • Språk:
  • Engelska
  • ISBN:
  • 9781668469804
  • Format:
  • Inbunden
  • Sidor:
  • 252
  • Utgiven:
  • 20. mars 2023
  • Mått:
  • 183x18x260 mm.
  • Vikt:
  • 678 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 18. december 2024

Beskrivning av 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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