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Tài liệu phù hợp với tiêu chí tìm kiếm:
  • Sách/Book

  • A Different Look at Artificial Intelligence: On Tour with Bergson, Proust and Nabokov

    • Tác giả : Barthelmeß, Ulrike (2023)

  • Topics such as logical reasoning, knowledge and memory play just as important a role as machine learning and artificial neural networks. In the foreground is the question of what constitutes memory and thinking, what role our emotions play when we as humans move through life, through the world. A book that offers unusual perspectives on artificial intelligence.
  • Sách/Book

  • AI metaheuristics for information security in digital media

    • Tác giả : Shastri, Apoorva S (2023)

  • This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications.
  • Sách/Book

  • Confessions of an AI Brain

    • Tác giả : Fersman, Elena (2023)

  • The book is written as a first person narrative, from an AI perspective, having the AI brain tell the story.
  • Sách/Book

  • Machine Learning for High-Risk Applications: Approaches to Responsible AI

    • Tác giả : Hall, Patrick (2023)

  • This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.
  • Sách/Book

  • Artificial Intelligence, Learning and Computation in Economics and Finance

    • Tác giả : Venkatachalam, Ragupathy (2022)

  • This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought.