Mobile Intelligence
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Mobile Intelligence
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Author : Laurence T. Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2010-02-08
Mobile Intelligence written by Laurence T. Yang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-08 with Technology & Engineering categories.
* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology. * Covers research and application issues in applying computational intelligence applications to mobile computing * Delivers benefits to a wide range of applications * Introduces the state of the art of computational intelligence to the mobile paradigm
The Mobile Wave
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Author : Michael J. Saylor
language : en
Publisher: Hachette UK
Release Date : 2013-05-28
The Mobile Wave written by Michael J. Saylor and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-28 with Technology & Engineering categories.
In the tradition of international bestsellers, Future Shock and Megatrends, Michael J. Saylor, CEO of MicroStrategy, brings TheMobile Wave, a ground-breaking analysis of the impact of mobile intelligence -- the fifth wave of computer technology. The Mobile Waveargues that the changes brought by mobile computing are so big and widespread that it's impossible for us to see it all, even though we are all immersed in it. Saylor explains that the current generation of mobile smart phones and tablet computers has set the stage to become the universal computing platform for the world. In the hands of billions of people and accessible anywhere and anytime, mobile computers are poised to become an appendage of the human being and an essential tool for modern life. With the perspective of a historian, the precision of a technologist, and the pragmatism of a CEO, Saylor provides a panoramic view of the future mobile world. He describes how: A Harvard education will be available to anyone with the touch of a screen. Cash will become virtual software and crime proof. Cars, homes, fruit, animals, and more will be tagged so they can tell you about themselves. Buying an item will be as easy as pointing our mobile device to scan and pay.Land and capital will become more of a liability than an asset. Social mobile media will push all businesses to think and act like software companies. Employment will shift as more service-oriented jobs are automated by mobile software. Products, businesses, industries, economies, and even society will be altered forever as the Mobile wave washes over us and changes the landscape. With so much change, The Mobile Wave is a guidebook for individuals, business leaders, and public figures who must navigate the new terrain as mobile intelligence changes everything.
Mobile Artificial Intelligence Projects
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Author : Karthikeyan NG
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-30
Mobile Artificial Intelligence Projects written by Karthikeyan NG 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 2019-03-30 with Computers categories.
Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key FeaturesBuild practical, real-world AI projects on Android and iOSImplement tasks such as recognizing handwritten digits, sentiment analysis, and moreExplore the core functions of machine learning, deep learning, and mobile visionBook Description We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learnExplore the concepts and fundamentals of AI, deep learning, and neural networksImplement use cases for machine vision and natural language processingBuild an ML model to predict car damage using TensorFlowDeploy TensorFlow on mobile to convert speech to textImplement GAN to recognize hand-written digitsDevelop end-to-end mobile applications that use AI principlesWork with popular libraries, such as TensorFlow Lite, CoreML, and PyTorchWho this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.
Mobile Edge Artificial Intelligence
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Author : Yuanming Shi
language : en
Publisher: Academic Press
Release Date : 2021-08-07
Mobile Edge Artificial Intelligence written by Yuanming Shi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-07 with Computers categories.
Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains. As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources. Presents advanced key enabling techniques, including model compression, wireless MapReduce and wireless cooperative transmission Provides advanced 6G wireless techniques, including over-the-air computation and reconfigurable intelligent surface Includes principles for designing communication-efficient edge inference systems, communication-efficient training systems, and communication-efficient optimization algorithms for edge machine learning
Artificial Intelligence And Mobile Robots
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Author : David Kortenkamp
language : en
Publisher: American Association for Artif
Release Date : 1998
Artificial Intelligence And Mobile Robots written by David Kortenkamp and has been published by American Association for Artif this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
The mobile robot systems described in this book were selected from among the best available implementations by leading universities and research laboratories. These are robots that have left the lab and been tested in natural and unknown environments. They perform many different tasks, from giving tours to collecting trash. Many have distinguished themselves (usually with first- or second-place finishes) at various indoor and outdoor mobile robot competitions. Each case study is self-contained and includes detailed descriptions of important algorithms, including pseudo-code. Thus this volume serves as a recipe book for the design of successful mobile robot applications. Common themes include navigation and mapping, computer vision, and architecture. Contributors Ronald Arkin, Tucker Balch, Michael Brady, Don Brutzman, Arno Bucken, R. James Firby, Erann Gat, Tony Healy, Ian Horswill, Housheng Hu, Sven Koenig, Kurt Konolige David Kortenkamp, Dave Marco, Bob McGhee, Robin Murphy, Karen Myers, Illah Nourbakhsh, Peter Prokopowicz, Bill Schiller, Reid Simmons, Michael Swain, Sebastian Thrun
Intelligence In Services And Networks Paving The Way For An Open Service Market
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Author : Han Zuidweg
language : en
Publisher: Springer
Release Date : 2008-01-03
Intelligence In Services And Networks Paving The Way For An Open Service Market written by Han Zuidweg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-03 with Computers categories.
Paving the Way for an Open Service Market We live in an age when powerful communications technology is becoming available to everyone. From our home we can send and receive not only analogue voice, but also growing volumes of digital information and even intelligence in the form of agents. We are becoming increasingly mobile and are expecting the same level of connectivity in the home, in the office, and on the road. The regulatory and commercial environment in which we communicate is changing. The telecommunications market is becoming increasingly competitive. The Internet is erasing the borders between information technology and telecommunications. And the way we do business is ever more dominated by electronic exchanges of information. Is our technology ready for the open market of networks and services? Can we manage the growing complexity of computing and telecommunications technology and place it at the service of the people? The challenge for the research community is to develop the tools and techniques that will ultimately bring the full power of communications and information to everyone, in a way that everyone can easily use. The Sixth International Conference on Intelligence in Services and Networks (IS&N’99) is all about technology for paving the way to the open services market. Since the first IS&N conference in 1992 the focus of the IS&N program has continually shifted. We see existing technologies maturing while new ones emerge, but the bottom line has always been putting technology at the service of the people.
Intelligent Mobile Projects With Tensorflow
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Author : Jeff Tang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-22
Intelligent Mobile Projects With Tensorflow written by Jeff Tang 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 2018-05-22 with Computers categories.
Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book Description As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is for If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.
Business Intelligence And Mobile Technology Research
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Author : Sean B. Eom
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2014-03-25
Business Intelligence And Mobile Technology Research written by Sean B. Eom and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-25 with Technology & Engineering categories.
All business organizations strive for increasing their growth by seizing new opportunities, reducing enterprise costs, attracting new customers and retaining old customers. In doing so, business intelligence and analytics allow business organizations to make better plans, informed decisions, and monitor their progress towards planned goals and objectives. The more disruptive power of IT technologies comes synergistically. Individual IT technologies do not work in isolation. Business intelligence systems are built on other digital technologies, such as mobile and collaborative technologies, cloud computing, virtualization, and enterprise resource planning and enterprise information systems. This volume presents sixteen of the most insightful research papers amongst the various contributions accepted for presentations at the International Conference on Information Systems and Technologies (ICIST 2013) and the International Conference on Software Engineering and New Technologies (ICSENT’12), held in Tangier, Morocco, and Hammamet, Tunisia respectively. These papers truly represent what today’s CIOs see as the top-priority disruptive IT technologies that will help business organizations seize digital opportunities to increase their growth and reduce operating costs.
Department Of The Army Historical Summary
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Author : Center of Military History
language : en
Publisher:
Release Date : 1978
Department Of The Army Historical Summary written by Center of Military History and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Improving Intelligence Analysis In Policing
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Author : Stuart Kirby
language : en
Publisher: Routledge
Release Date : 2021-06-08
Improving Intelligence Analysis In Policing written by Stuart Kirby and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Fiction categories.
This book explains how improvements in intelligence analysis can bene!t policing. Written by experts with experience in police higher education and professional practice, this accessible text provides students with both practical knowledge and a critical understanding of the subject. The book is divided into three key parts: Part One outlines how the concept of intelligence was initially embraced and implemented by the police and provides a critique of intelligence sources. It examines the strategic use of intelligence and its procedural framework. It provides a summary of the role of the intelligence analyst, establishing the characteristics of effective practitioners. Part Two describes good practice and explains the practical tools and techniques that effective analysts use in the reduction and investigation of crime. Part Three examines more recent developments in intelligence analysis and looks to the future. This includes the move to multi-agency working, the advent of big data and the role of AI and machine learning. Filled with case studies and practical examples, this book is essential reading for all undergraduates and postgraduates taking courses in Professional Policing, and Criminal Justice more widely. It will also be of interest to existing practitioners in this field.