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  • Sách/Book

  • Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges

    • Authors: Sun, Ziheng (2023)

  • The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience.
  • Sách/Book

  • Integrated Human-Machine Intelligence: Beyond Artificial Intelligence

    • Authors: Liu, Wei (2023)

  • The book also details the cognitive, philosophical, social, scientific and technological, and military theories and methods of human-computer division, cooperation and collaborative decision-making to provide basic theoretical support for a development strategy in the field of national intelligence. Sections focus on describing a new form of intelligence produced by the interaction of human, machine and environmental systems which will become the next generation of AI.
  • Sách/Book

  • Brain-Computer Interface: Using Deep Learning Applications

    • Authors: Balusamy, Balamurugan (2023)

  • The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world.