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    Browsing by Subject Artificial intelligence

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    Showing results 1 to 7 of 7
    • TVS.005057_TT_Elias G. Carayannis_ Evangelos Grigoroudis - Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship-Edward Elg.pdf.jpg
    • Sách/Book

    • Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship

      • Authors: Carayannis, Elias G (2023)

    • The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
    • TVS.006011_TT_Hands-On Generative AI with Transformers and Diffusion Models.pdf.jpg
    • Sách/Book

    • Hands-On Generative AI with Transformers and Diffusion Models

      • Authors: Cuenca, Pedro (2023)

    • This book introduces theoretical concepts in an intuitive way, with extensive code samples and illustrations that you can run on services such as Google Colaboratory, Kaggle, or Hugging Face Spaces with minimal setup. You'll learn how to use open source libraries such as Transformers and Diffusers, conduct code exploration, and study several existing projects to help guide your work.
    • TVS.005058_TT_Huijue Jia - Neuroscience for Artificial Intelligence-Jenny Stanford Publishing (2023).pdf.jpg
    • Sách/Book

    • Neuroscience for Artificial Intelligence

      • Authors: Jia, Huijue (2023)

    • This is a timely book to introduce the new discoveries and ideas in neuroscience, for the next wave of more powerful AI. AI researchers are all interested in the human brain, which is more capable and energy-efficient, but do not have good reading materials from the rather separate subfields of neuroscience, all with plenty of jargons. Based on hundreds of publications from top journals, the book fills in the gap between existing computational hardware/algorithms and emerging knowledge from neuroscience.
    • TVS.005001_TT_(The Python Series) Stephen Lynch - Python for Scientific Computing and Artificial Intelligence-CRC Press (2023).pdf.jpg
    • Sách/Book

    • Python for scientific computation and artificial intelligence

      • Authors: Lynch, Stephen (2023)

    • This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required. Online GitHub repository available with codes for readers to practice. Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing. Full solutions to exercises are available as Jupyter notebooks on the Web"--