Algorithms And Architectures Of Artificial Intelligence
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Algorithms And Architectures Of Artificial Intelligence
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Author : Ėnn Kharalʹdovich Tyugu
language : en
Publisher: IOS Press
Release Date : 2007
Algorithms And Architectures Of Artificial Intelligence written by Ėnn Kharalʹdovich Tyugu and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Provides an overview of methods developed in artificial intelligence for search, learning, problem solving and decision making. This book also gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm.
Algorithms And Architectures Of Artificial Intelligence
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Author : Ėnn Kharalʹdovich Tyugu
language : en
Publisher:
Release Date : 2007
Algorithms And Architectures Of Artificial Intelligence written by Ėnn Kharalʹdovich Tyugu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Algorithms categories.
Provides an overview of methods developed in artificial intelligence for search, learning, problem solving and decision making. This book also gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm.
Learning Deep Architectures For Ai
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Author : Yoshua Bengio
language : en
Publisher: Now Publishers Inc
Release Date : 2009
Learning Deep Architectures For Ai written by Yoshua Bengio and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computational learning theory categories.
Theoretical results suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one may need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers or in complicated propositional formulae re-using many sub-formulae. Searching the parameter space of deep architectures is a difficult task, but learning algorithms such as those for Deep Belief Networks have recently been proposed to tackle this problem with notable success, beating the state-of-the-art in certain areas. This paper discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks.
Advances In Artificial General Intelligence
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Author : Ben Goertzel
language : en
Publisher: IOS Press
Release Date : 2007
Advances In Artificial General Intelligence written by Ben Goertzel and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration.
Ai For Computer Architecture
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Author : Lizhong Chen
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Ai For Computer Architecture written by Lizhong Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader application to the design, optimization, and simulation of computer architecture. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This book reviews the application of machine learning in system-wide simulation and run-time optimization, and in many individual components such as caches/memories, branch predictors, networks-on-chip, and GPUs. The book further analyzes current practice to highlight useful design strategies and identify areas for future work, based on optimized implementation strategies, opportune extensions to existing work, and ambitious long term possibilities. Taken together, these strategies and techniques present a promising future for increasingly automated computer architecture designs.
Advances In Artificial Intelligence
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Author : J Bezdek
language : en
Publisher: World Scientific
Release Date : 1990-11-09
Advances In Artificial Intelligence written by J Bezdek and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-11-09 with Computers categories.
This volume contains a well-balanced set of applications and theory papers in artificial intelligence advances. The applications papers each discuss a system that is (or is close to being) a fielded system that solves real problems using one or more AI techniques. They cover areas such as education, physics, energy, control, medicine and mechanical engineering. The theory papers, representing recent advances in various theoretical aspects of AI technology, concern themselves with “building block” issues, i.e. theories, algorithms, architectures, and software tools that can or will be used for modules within future systems. The topics covered are: clustering, natural language, adaptive algorithms, distributed processing, knowledge acquisition, and systems programming. Contents:PLAYMAKER: A Knowledge-Based Approach to Characterizing Hydrocarbon Plays (G Biswas et al.)An Expert System for Tuning Particle Beam Accelerators (D L Lager et al.)Expert System Approach to Assessments of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients (N J Pizzi & J M Gerrard)Adaptive Planning for Air Combat Maneuvering (I C Hayslip et al.)CAUSA — A Tool for Model-Based Knowledge Acquisition (W Dilger & J Möller)PRIOPS: A Real-Time Production System Architecture for Programming and Learning in Embedded Systems (D E Parson & G D Blank)and other papers Readership: Computer scientists and engineers. keywords:
Architecture In The Age Of Artificial Intelligence
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Author : Neil Leach
language : en
Publisher: Bloomsbury Publishing
Release Date : 2021-11-18
Architecture In The Age Of Artificial Intelligence written by Neil Leach and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-18 with Architecture categories.
Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.
The Machine Learning Solutions Architect Handbook
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Author : David Ping
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-21
The Machine Learning Solutions Architect Handbook written by David Ping and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-21 with Computers categories.
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.
Computational Intelligence
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Author : Leszek Rutkowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-24
Computational Intelligence written by Leszek Rutkowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-24 with Technology & Engineering categories.
This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence. The book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up, various neural network architectures are presented and their learning algorithms are derived. Then, the family of evolutionary algorithms is discussed, including connections between these techniques and neural networks and fuzzy systems. Finally, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared.
Hybrid Architectures For Intelligent Systems
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Author : Abraham Kandel
language : en
Publisher: CRC Press
Release Date : 2020-09-10
Hybrid Architectures For Intelligent Systems written by Abraham Kandel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Computers categories.
Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.