Thinking Machine
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| Title: | Thinking Machine |
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| Description: | This book delves into the ultimate goal and peak direction of artificial intelligence, reflecting the author's foresight and courage. This book's content differs from general monographs. Instead of merely delving deeply into one or a few critical technical fields, it encompasses the entire process of thinking machines and elucidates key viewpoints, theories, and technologies with examples. This book serves as an invaluable resource for computer science students, offering insights into the knowledge and challenges inherent in designing, developing, and maintaining complex algorithms. It also paves the way for the creation of super large-scale interpretable machine intelligence systems in the field of natural language understanding, which is different from large language models. It provides students with diverse potential directions for their future research. |
| Authors: | Ping Zhu |
| Resource Type: | eBook. |
| Subjects: | Artificial intelligence--Data processing, Machine learning |
| Categories: | COMPUTERS / Artificial Intelligence / Natural Language Processing |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | This book delves into the ultimate goal and peak direction of artificial intelligence, reflecting the author's foresight and courage. This book's content differs from general monographs. Instead of merely delving deeply into one or a few critical technical fields, it encompasses the entire process of thinking machines and elucidates key viewpoints, theories, and technologies with examples. This book serves as an invaluable resource for computer science students, offering insights into the knowledge and challenges inherent in designing, developing, and maintaining complex algorithms. It also paves the way for the creation of super large-scale interpretable machine intelligence systems in the field of natural language understanding, which is different from large language models. It provides students with diverse potential directions for their future research. |
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| ISBN: | 9798895302033 9798895302743 |
