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Generative AI has set up shop in almost every aspect of business and society. Transformers and Large Language Models (LLMs) now power everything from code creation tools like... Læs mere
Explores the applications of blockchain, AI, and ML in healthcare systems, presenting computational approaches and real-world healthcare applications. Discusses the potential for clinical research, medical fraud detection, and electronic health records.
A thrilling investigation into the mysterious identity of Bitcoin's creator and a deep dive into crypto's utopian origin story from a New York Times bestselling author
This book presents a practical approach for researchers seeking to analyse patient data over time, serving... Læs mere
The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of futuristic information processing applications in communication industries.
The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary applications.
The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of futuristic information processing applications in communication industries.
Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
Bias and Beyond is anchored in a commitment to Diversity, Equity, and Inclusion (DEI), not only as aspirational values but as methodological imperatives that must inform every aspect of data practice.
This book explores advanced methodologies and empirical research in machine learning through data mining and GPU-based parallel programming. It highlights the integration of modern deep learning techniques with CUDA architecture for efficient big data processing.
Combining practical implementation - codes, training pipelines, and deployment guides - with strategic Environmental,... Læs mere