AI Computing Systems

AI Computing Systems
Author: Yunji Chen,Ling Li,Wei Li,Qi Guo,Zidong Du,Zichen Xu
Publsiher: Elsevier
Total Pages: 450
Release: 2022-10-12
Genre: Computers
ISBN: 9780323953986

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AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time. Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system

Cognitive Computing Systems

Cognitive Computing Systems
Author: Vishal Jain,Akash Tayal,Jaspreet Singh,Arun Solanki
Publsiher: Apple Academic Press
Total Pages: 0
Release: 2023-09-25
Genre: Electronic Book
ISBN: 1774637634

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This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology, application of neural networks in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart agricultural technology, human resource management, and more. With chapters from knowledgeable researchers in the area of artificial intelligence, cognitive computing, and allied areas, this book will be an asset for researchers, faculty, advances students, and industry professionals in many fields.

Intelligent Technologies Concepts Applications and Future Directions

Intelligent Technologies  Concepts  Applications  and Future Directions
Author: Satya Ranjan Dash,Manas Ranjan Lenka,Kuan-Ching Li,Esaú Villatoro-Tello
Publsiher: Springer Nature
Total Pages: 343
Release: 2022-05-21
Genre: Technology & Engineering
ISBN: 9789811910210

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This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at first Ph.D. Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.

Deep Learning for Cognitive Computing Systems

Deep Learning for Cognitive Computing Systems
Author: M.G. Sumithra,Rajesh Kumar Dhanaraj,Celestine Iwendi,Anto Merline Manoharan
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 260
Release: 2022-12-31
Genre: Computers
ISBN: 9783110750614

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Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

Intelligent Computing Systems

Intelligent Computing Systems
Author: Carlos Brito-Loeza,Arturo Espinosa-Romero,Anabel Martin-Gonzalez,Asad Safi
Publsiher: Springer Nature
Total Pages: 161
Release: 2020-03-11
Genre: Computers
ISBN: 9783030433642

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This book constitutes the proceedings of the Third International Symposium on Intelligent Computing Systems, ISICS 2020, held in Sharjah, United Arab Emirates, in March 2020. The 13 full papers presented in this volume were carefully reviewed and selected from 46 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.

Artificial Intelligence and Computing Logic

Artificial Intelligence and Computing Logic
Author: Cyrus F. Nourani
Publsiher: CRC Press
Total Pages: 273
Release: 2021-12-23
Genre: Computers
ISBN: 9781000400908

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Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.

Artificial Intelligence and Security in Computing Systems

Artificial Intelligence and Security in Computing Systems
Author: Jerzy Soldek,Leszek Drobiazgiewicz
Publsiher: Springer Science & Business Media
Total Pages: 303
Release: 2012-12-06
Genre: Computers
ISBN: 9781441992260

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Artificial Intelligence and Security in Computing Systems is a peer-reviewed conference volume focusing on three areas of practice and research progress in information technologies: -Methods of Artificial Intelligence presents methods and algorithms which are the basis for applications of artificial intelligence environments. -Multiagent Systems include laboratory research on multiagent intelligent systems as well as upon their applications in transportation and information systems. -Computer Security and Safety presents techniques and algorithms which will be of great interest to practitioners. In general, they focus on new cryptographic algorithms (including a symmetric key encryption scheme, hash functions, secret generation and sharing schemes, and secure data storage), a formal language for policy access control description and its implementation, and risk management methods (used for continuous analysis both in distributed network and software development projects).

Intelligent Computing Systems

Intelligent Computing Systems
Author: George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain
Publsiher: Springer
Total Pages: 368
Release: 2016-02-10
Genre: Technology & Engineering
ISBN: 9783662491799

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This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come. It demonstrates how Intelligent Computing Systems make use of computational methodologies that mimic nature-inspired processes to address real world problems of high complexity for which exact mathematical solutions, based on physical and statistical modelling, are intractable. Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous. The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.