Processing In Memory For Ai
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Processing In Memory For Ai
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Author : Joo-Young Kim
language : en
Publisher: Springer Nature
Release Date : 2022-07-09
Processing In Memory For Ai written by Joo-Young Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-09 with Technology & Engineering categories.
This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM).
Efficient Processing Of Deep Neural Networks
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Author : Vivienne Sze
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-06-24
Efficient Processing Of Deep Neural Networks written by Vivienne Sze and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-24 with Computers categories.
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of the DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as a formalization and organization of key concepts from contemporary works that provides insights that may spark new ideas.
Handbook Of Artificial Intelligence In Psychology
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Author : Farzin Forouzani Fard
language : en
Publisher: Elyasbook
Release Date : 2024-01-14
Handbook Of Artificial Intelligence In Psychology written by Farzin Forouzani Fard and has been published by Elyasbook this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-14 with Psychology categories.
In the vast expanse of human understanding, few domains captivate and baffle as much as the interplay between artificial intelligence (AI) and the intricacies of human psychology. It signifies the merging of two separate realms, each teeming with its unique complexities, mysterious enigmas, and profound implications. Our journey through this book manifests as an exploration, a quest to reveal the intricate dimensions of intellect, language, emotions, cognition, character, and neuropsychology in this AI-defined era.
Data Analytics With Hadoop
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Author : Benjamin Bengfort
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-06
Data Analytics With Hadoop written by Benjamin Bengfort and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06 with Computers categories.
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib
Ai And Human Cognition Bridging The Gap
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Author : Dr. Bankimchandra vyas
language : en
Publisher: Chyren Publication
Release Date : 2025-04-02
Ai And Human Cognition Bridging The Gap written by Dr. Bankimchandra vyas and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with Antiques & Collectibles categories.
Artificial Intelligence For Beginners
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Author : Raef Meeuwisse
language : en
Publisher: Cyber Simplicity Ltd
Release Date : 2023-05-22
Artificial Intelligence For Beginners written by Raef Meeuwisse and has been published by Cyber Simplicity Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Computers categories.
This book is designed as an easy insight into the fundamentals of artificial intelligence. You may be a student, business executive or just an everyday person looking to understand this important subject area. Artificial intelligence (AI) is the most exciting, significant, planet-changing development in human history. It is the natural progression of the digital revolution, designed as a thought engine that can exceed human brain limitations, it now shapes and controls many aspects of our daily lives. What were the origins of AI? How did the technology evolve? What are artificial neural networks and tensors and why are they important to the step-change in AI? What are the regulatory and existential challenges that this technology poses? ALSO featuring an alphabetical section at the back of the book to help you translate the main AI terminology into plain, non-technical English.
Parallel Processing And Parallel Algorithms
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Author : Seyed H Roosta
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Processing And Parallel Algorithms written by Seyed H Roosta 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 2012-12-06 with Computers categories.
Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.
Artificial Intelligence And Information Proceedings Of The 6th International Conference
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Author : Ivan Plander
language : en
Publisher: World Scientific
Release Date : 1994-08-04
Artificial Intelligence And Information Proceedings Of The 6th International Conference written by Ivan Plander and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-08-04 with categories.
These proceedings comprise about 50 contributions from experts worldwide. The major themes covered include knowledge-based and expert systems, cognitive modeling, neural networks and AI, image processing and computational geometry, and parallel, distributed and decentralised architecture for AI and robotics.
Vlsi For Neural Networks And Artificial Intelligence
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Author : Jose G. Delgado-Frias
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Vlsi For Neural Networks And Artificial Intelligence written by Jose G. Delgado-Frias 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 2013-06-29 with Computers categories.
Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and digital VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.
Artificial Intelligence And Information Control Systems Of Robots 94
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Author : International Conference on Artificial Intelligence and Information-Control Systems of Robots 1994, Smolenice (Slovakia)
language : en
Publisher: World Scientific
Release Date : 1994
Artificial Intelligence And Information Control Systems Of Robots 94 written by International Conference on Artificial Intelligence and Information-Control Systems of Robots 1994, Smolenice (Slovakia) and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Artificial intelligence categories.