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This open access book discusses the theory and methods of hypergraph computation.
Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks.
...10) Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.
Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and
...Embark on a thrilling journey into the fast-moving, controversial world of artificial intelligence. AI is already upending dozens of industries, from defense to travel to journalism to the arts, and people are very curious as to what's really happening. We'll explore AI's origins and technical foundations to deliver a deeper understanding of its awesome power to reshape our lives, eliminating repetitive tasks and bringing new efficiency.
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