Ai Acceleration

Ai Acceleration Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Ai Acceleration book. This book definitely worth reading, it is an incredibly well-written.

AI Acceleration: A Comprehensive Guide to Adopting Artificial Intelligence in Your Business

Author : Darren G. Burton
Publisher : Darren G. Burton
Page : 63 pages
File Size : 51,5 Mb
Release : 2023-06-28
Category : Computers
ISBN : 8210379456XXX

Get Book

AI Acceleration: A Comprehensive Guide to Adopting Artificial Intelligence in Your Business by Darren G. Burton Pdf

In a rapidly evolving digital landscape, businesses must adapt to stay competitive. "AI Empowered: Unlocking Success through Artificial Intelligence" is a comprehensive guide that demystifies the process of adopting AI into your organization. From understanding the fundamentals of AI to developing a robust strategy, managing data, and ensuring ethical practices, this book equips business leaders with the knowledge and tools needed to harness the transformative power of AI. With real-world examples, practical advice, and insights into future trends, this book empowers readers to navigate the complexities of AI adoption, drive innovation, and secure a prosperous future in the AI-driven business world.

The Revenue Acceleration Rules

Author : Shashi Upadhyay,Kent McCormick
Publisher : John Wiley & Sons
Page : 144 pages
File Size : 50,5 Mb
Release : 2018-04-16
Category : Business & Economics
ISBN : 9781119372066

Get Book

The Revenue Acceleration Rules by Shashi Upadhyay,Kent McCormick Pdf

Turn data into revenue in the B2B marketing sphere The Revenue Acceleration Rules is a unique guide in the business-to-business space, providing a clear framework for more effective marketing in an accounts-based environment. Written by a veteran in the predictive marketing sphere, this book explains how strategies typically used on the consumer end can be tailored to drive revenue in B2B sales. Industry experts offer advice and best practices, using real-world examples to illustrate the power of analytics and on-the-ground implementation of predictive ABM initiatives. Covering the complete spectrum from "why?" to "how?", this book provides an invaluable resource for B2B marketers seeking a step forward in the rapidly-evolving marketplace. Business-to-business sales makes up roughly 45 percent of the economy, and the power of predictive marketing has been proven time and again in the consumer sphere. This guide is the only resource to merge these two critical forces and provide clear guidance for the B2B space. Supercharge your demand waterfall Align marketing and sales Learn best practices from industry experts Grow revenue with account-based marketing Predictive marketing reveals the small clues that speak to big trends. While B2B diverges from consumer marketing in a number of ways, the central demand for value remains; analytics helps you stay ahead of the curve, streamline the marketing to sales funnel, and increase ROI. Strengthen the relationships you already have, attract new accounts, and prioritize accurately to turn contacts into leads, and leads into customers. Your data can be your biggest marketing asset, and The Revenue Acceleration Rules shows you how to leverage it into revenue.

Trends and Innovations in Information Systems and Technologies

Author : Álvaro Rocha,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo,Irena Orovic,Fernando Moreira
Publisher : Springer Nature
Page : 854 pages
File Size : 45,9 Mb
Release : 2020-06-07
Category : Technology & Engineering
ISBN : 9783030456917

Get Book

Trends and Innovations in Information Systems and Technologies by Álvaro Rocha,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo,Irena Orovic,Fernando Moreira Pdf

This book gathers selected papers presented at the 2020 World Conference on Information Systems and Technologies (WorldCIST’20), held in Budva, Montenegro, from April 7 to 10, 2020. WorldCIST provides a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences with and challenges regarding various aspects of modern information systems and technologies. The main topics covered are A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Ai '93 - Proceedings Of The 6th Australian Joint Conference On Artificial Intelligence

Author : C Rowles,N Foo,H Liu
Publisher : World Scientific
Page : 480 pages
File Size : 51,8 Mb
Release : 1993-09-23
Category : Electronic
ISBN : 9789814552530

Get Book

Ai '93 - Proceedings Of The 6th Australian Joint Conference On Artificial Intelligence by C Rowles,N Foo,H Liu Pdf

This volume reflects the state of the art in artificial intelligence in the Australasian region. It covers machine learning, knowledge acguisition, cognitive modelling, robots and vision, natural language, automated reasoning, knowledge-based systems, neural networks and genetic algorithms, distributed AI, etc.

Ascend AI Processor Architecture and Programming

Author : Xiaoyao Liang
Publisher : Elsevier
Page : 310 pages
File Size : 48,8 Mb
Release : 2020-07-29
Category : Computers
ISBN : 9780128234891

Get Book

Ascend AI Processor Architecture and Programming by Xiaoyao Liang Pdf

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei’s Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software and hardware design principles, system tools and programming techniques for the processor, laying out the elements of AI programming technology needed by researchers developing AI applications. Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI. Presents the performance and attributes of the Huawei Ascend AI processor Describes the software and hardware architecture of the Ascend processor Lays out the elements of AI theory, processor architecture, and AI applications Provides detailed case studies on data and algorithms for AI Offers insights into processor architecture and programming to spark new AI applications

Accelerating Democracy

Author : John O. McGinnis
Publisher : Princeton University Press
Page : 224 pages
File Size : 50,8 Mb
Release : 2013
Category : Law
ISBN : 9780691151021

Get Book

Accelerating Democracy by John O. McGinnis Pdf

Explains how politicians and citizens can use technology to enhance American democracy.

Computer Security – ESORICS 2022

Author : Vijayalakshmi Atluri,Roberto Di Pietro,Christian D. Jensen,Weizhi Meng
Publisher : Springer Nature
Page : 798 pages
File Size : 50,8 Mb
Release : 2022-09-23
Category : Computers
ISBN : 9783031171437

Get Book

Computer Security – ESORICS 2022 by Vijayalakshmi Atluri,Roberto Di Pietro,Christian D. Jensen,Weizhi Meng Pdf

The three volume set LNCS 13554, 13555, 13556 constitutes the proceedings of the 27th European Symposium on Research in Computer Security, ESORICS 2022, which took place in September 2022. The conference took place in Copenhagen, Denmark, in a hybrid mode. The 104 full papers and 6 poster papers presented in these proceedings were carefully reviewed and selected from 562 submissions. They were organized in topical sections as follows: Part I: Blockchain security; privacy; crypto; attacks; sidechannels; Part II: Anonymity; cloud security; access control; authentication; digital signatures; IoT security; applications; Part III: Formal analysis; Web security; hardware security; multiparty computation; ML techniques; cyber-physical systems security; network and software security; posters.

AI 2003: Advances in Artificial Intelligence

Author : Tamas D. Gedeon,Lance C.C. Fung
Publisher : Springer
Page : 1095 pages
File Size : 53,9 Mb
Release : 2003-12-01
Category : Computers
ISBN : 9783540245810

Get Book

AI 2003: Advances in Artificial Intelligence by Tamas D. Gedeon,Lance C.C. Fung Pdf

Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Author : Anonim
Publisher : Academic Press
Page : 416 pages
File Size : 50,5 Mb
Release : 2021-03-28
Category : Computers
ISBN : 9780128231241

Get Book

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by Anonim Pdf

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance

Foundations of Physically Based Modeling and Animation

Author : Donald House,John C. Keyser
Publisher : CRC Press
Page : 405 pages
File Size : 55,8 Mb
Release : 2016-11-30
Category : Computers
ISBN : 9781482234619

Get Book

Foundations of Physically Based Modeling and Animation by Donald House,John C. Keyser Pdf

Physics forms the basis for many of the motions and behaviors seen in both the real world and in the virtual worlds of animated films, visual effects, and computer games. By describing the underlying physical principles and then creating simulations based on these principles, these computer-generated worlds are brought to life. Physically Based Modeling and Animation goes behind the scenes of computer animation and details the mathematical and algorithmic foundations that are used to determine the behavior underlying the movement of virtual objects and materials. Dr. Donald House and Dr. John Keyser offer an approachable, hands-on view of the equations and programming that form the foundations of this field. They guide readers from the beginnings of modeling and simulation to more advanced techniques, enabling them to master what they need to know in order to understand and create their own animations Emphasizes the underlying concepts of the field, and is not tied to any particular software package, language, or API. Develops concepts in mathematics, physics, numerical methods, and software design in a highly integrated way, enhancing both motivation and understanding. Progressively develops the material over the book, starting from very basic techniques, and building on these to introduce topics of increasing complexity. Motivates the topics by tying the underlying physical and mathematical techniques directly to applications in computer animation.

AI Acceleration

Author : Michele T Jones
Publisher : Independently Published
Page : 0 pages
File Size : 48,7 Mb
Release : 2024-03-12
Category : Computers
ISBN : 9798884665675

Get Book

AI Acceleration by Michele T Jones Pdf

"AI Acceleration" is a comprehensive guide that dives deep into the transformative power of Artificial Intelligence (AI) in accelerating business growth and innovation. Authored by Michele T. Jones, this book offers a strategic roadmap for businesses aiming to harness the full potential of AI technologies. From understanding the basics of AI to exploring emerging trends and technologies, readers will gain valuable insights into leveraging AI to drive revenue growth, enhance operational efficiency, and gain a competitive edge in today's dynamic business landscape. Whether you're a seasoned business leader or a startup entrepreneur, "AI Acceleration" provides practical guidance, real-world case studies, and actionable strategies for unlocking new opportunities, overcoming challenges, and shaping the future of business with AI.

Computational Science – ICCS 2021

Author : Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot
Publisher : Springer Nature
Page : 609 pages
File Size : 46,8 Mb
Release : 2021-06-11
Category : Computers
ISBN : 9783030779641

Get Book

Computational Science – ICCS 2021 by Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M. A. Sloot Pdf

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Effective Solution of Ill-posed Inverse Problems with Stabilized Forward Solver” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Efficient Processing of Deep Neural Networks

Author : Vivienne Sze,Yu-Hsin Chen,Tien-Ju Yang,Joel S. Emer
Publisher : Springer Nature
Page : 254 pages
File Size : 48,8 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031017667

Get Book

Efficient Processing of Deep Neural Networks by Vivienne Sze,Yu-Hsin Chen,Tien-Ju Yang,Joel S. Emer Pdf

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 key 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 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 formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

Reliability-Based Design in Geotechnical Engineering

Author : Kok-Kwang Phoon
Publisher : CRC Press
Page : 545 pages
File Size : 48,8 Mb
Release : 2008-04-25
Category : Technology & Engineering
ISBN : 9780203934241

Get Book

Reliability-Based Design in Geotechnical Engineering by Kok-Kwang Phoon Pdf

Reliability-based design is the only engineering methodology currently available which can ensure self-consistency in both physical and probabilistic terms. It is also uniquely compatible with the theoretical basis underlying other disciplines such as structural design. It is especially relevant as geotechnical design becomes subject to increasing codification and to code harmonization across national boundaries and material types. Already some codes of practice describe the principles and requirements for safety, serviceability, and durability of structures in reliability terms. This book presents practical computational methods in concrete steps that can be followed by practitioners and students. It also provides geotechnical examples illustrating reliability analysis and design. It aims to encourage geotechnical engineers to apply reliability-based design in a realistic context that recognises the complex variabilities in geomaterials and model uncertainties arising from a profession steeped in empiricism. By focusing on learning through computations and examples, this book serves as a valuable reference for engineers and a resource for students.

Graph-Based Modelling in Engineering

Author : Stanisław Zawiślak,Jacek Rysiński
Publisher : Springer
Page : 247 pages
File Size : 48,9 Mb
Release : 2016-09-30
Category : Technology & Engineering
ISBN : 9783319390208

Get Book

Graph-Based Modelling in Engineering by Stanisław Zawiślak,Jacek Rysiński Pdf

This book presents versatile, modern and creative applications of graph theory in mechanical engineering, robotics and computer networks. Topics related to mechanical engineering include e.g. machine and mechanism science, mechatronics, robotics, gearing and transmissions, design theory and production processes. The graphs treated are simple graphs, weighted and mixed graphs, bond graphs, Petri nets, logical trees etc. The authors represent several countries in Europe and America, and their contributions show how different, elegant, useful and fruitful the utilization of graphs in modelling of engineering systems can be.