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Browsing by Subject Artificial Intelligence | Trí tuệ nhân tạo

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TVS.005028_(Lecture Notes in Networks and Systems 659) Nenad Filipovic - Applied Artificial Intelligence_ Medicine, Biology, Chemistry, Financial, Gam-1.pdf.jpg

Sách/Book

Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering

Authors: Nenad Filipovic (2023)

The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks

Book

Artificial Intelligence : A Modern Approach

Authors: Stuart Russell (2021)

The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.

TVS.002826_Artificial Intelligence (2021)_1.pdf.jpg

Sách/Book

Artificial Intelligence : A National Strategic Initiative

Authors: Tencent Research Institute (2021)

This book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries

TVS.002881_Artificial Intelligence (2017)_1.pdf.jpg

Sách/Book

Artificial Intelligence : Foundations of Computational Agents

Authors: David L. Poole (2018)

The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications.

TVS.003092_Artificial Intelligence By Example_1.pdf.jpg

Sách/Book

Artificial Intelligence By Example : Acquire advanced AI, machine learning, and deep learning design skills

Authors: Denis Rothman (2021)

This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.

Sách/Book

Artificial intelligence.

Authors: Zhi-Hua Zhou (2018)

This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.

TVS.002649_Artificial Intelligence_1.pdf.jpg

Sách/Book

Artificial Intelligence: When Do Machines Take Over?

Authors: Klaus Mainzer (2019)

TVS.005009_(Springer Series on Cultural Computing) Vladimir Geroimenko - Augmented Reality and Artificial Intelligence_ The Fusion of Advanced Technol-1.pdf.jpg

Sách/Book

Augmented Reality and Artificial Intelligence: The Fusion of Advanced Technologies

Authors: Vladimir Geroimenko (2023)

This book is the first research monograph that explores a new research field and practical applications produced by the combined use of two of the most advanced and powerful technologies available in today’s world – Artificial Intelligence (AI) and Augmented Reality (AR).

TVS.005026_(Lecture Notes in Networks and Systems, 670) Luigi Troiano, Alfredo Vaccaro, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, David Pa-1.pdf.jpg

Sách/Book

Key Digital Trends in Artificial Intelligence and Robotics: Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and

Authors: Luigi Troiano (2023)

The supremacy of AI in areas like speech and picture recognition, navigational apps, personal assistants for smartphones, ride-sharing apps, and many other areas is already well established. The book is primarily meant for academics, researchers, and engineers who want to employ AI applications to address real-world issues. The authors hope that businesses and technology creators will also find it appealing to utilise in industry.

Sách/Book

Machine Learning and Artificial Intelligence

Authors: Ameet V Joshi (2020)

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state.