Ai In Our Phones 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 In Our Phones book. This book definitely worth reading, it is an incredibly well-written.
In this book, we will learn about what AI is and what kinds of AIs are all around you. You will discover how AIs learn, and what they can learn, and how they help humans. We will explore how AIs are different from Robots, how Self Driving Cars work, and how Digital Assistants work.
The Hype-driven AI Mobile Cookbook: Recipes for Success by M.B. Chatfield Pdf
In this cookbook, M.B. Chatfield provides a comprehensive guide to choosing, using, and getting the most out of a hype-driven AI mobile. Chatfield begins by discussing the pros and cons of hype-driven AI mobiles. He then provides a detailed overview of the different types of AI features available in these phones. Chatfield also discusses the potential risks of hype-driven AI mobiles, such as bias, privacy concerns, and job displacement. The Hype-driven AI Mobile Cookbook is an essential resource for anyone who is considering buying a hype-driven AI mobile. It provides the information you need to make an informed decision and get the most out of your phone.
AI in Your Pocket: The Evolution of Virtual Personal Assistants for Mobile Devices by M.B. Chatfield Pdf
Virtual personal assistants (VPAs) are changing the way we interact with our mobile devices. These AI-powered assistants can understand our voice commands and complete tasks on our behalf. In this book, M.B. Chatfield explores the evolution of VPAs from their early days to the present. He discusses the different types of VPAs available, as well as how they are being used in new and innovative ways. Chatfield also discusses the potential benefits and drawbacks of VPAs. He argues that VPAs have the potential to make our lives more convenient and efficient, but that they also raise concerns about privacy and bias. This book is a must-read for anyone interested in learning more about the latest advances in AI and how they are impacting our lives. Chatfield's insightful analysis provides a valuable overview of this rapidly evolving field.
How to Break Up with Your Phone by Catherine Price Pdf
Packed with tested strategies and practical tips, this book is the essential, life-changing guide for everyone who owns a smartphone. Is your phone the first thing you reach for in the morning and the last thing you touch before bed? Do you frequently pick it up “just to check,” only to look up forty-five minutes later wondering where the time has gone? Do you say you want to spend less time on your phone—but have no idea how to do so without giving it up completely? If so, this book is your solution. Award-winning journalist Catherine Price presents a practical, hands-on plan to break up—and then make up—with your phone. The goal? A long-term relationship that actually feels good. You’ll discover how phones and apps are designed to be addictive, and learn how the time we spend on them damages our abilities to focus, think deeply, and form new memories. You’ll then make customized changes to your settings, apps, environment, and mindset that will ultimately enable you to take back control of your life.
Mobile Artificial Intelligence Projects by Karthikeyan NG,Arun Padmanabhan,Matt R. Cole Pdf
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.
The Global Politics of Artificial Intelligence by Maurizio Tinnirello Pdf
Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance. AI policy has become without doubt a significant issue of global politics. The Global Politics of Artificial Intelligence tackles some of the issues linked to AI development and use, contributing to a better understanding of the global politics of AI. This is an area where enormous work still needs to be done, and the contributors to this volume provide significant input into this field of study, to policy makers, academics, and society at large. Each of the chapters in this volume works as freestanding contribution, and provides an accessible account of a particular issue linked to AI from a political perspective. Contributors to the volume come from many different areas of expertise, and of the world, and range from emergent to established authors.
Convergence of Cloud with AI for Big Data Analytics by Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya Pdf
CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
If you are curious about Artificial Intelligence and wish to dig a little more than what other "AI intro" books can show you, or if you are a parent and would like to prepare your child for the age of Artificial Intelligence, then this book is for you. From voice assistants to self-driving cars, Artificial Intelligence (AI) is showing up everywhere. As AI applications expand to more fields, it is becoming more and more important for children to know about AI. Parents may wonder how to prepare their children for a society in which AI is so prevalent. Fortunately, the basics of AI are easier to understand than the mathematical tricks children have to learn in school. MY CELL PHONE CAN THINK: A Textbook on Artificial Intelligence is a fun-to-read book on AI, but it is also designed for use as a textbook and includes technical information and Q&A.
AI at the Edge by Daniel Situnayake,Jenny Plunkett Pdf
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
Artificial Intelligence in Practice by Bernard Marr Pdf
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
You & AI: A Guide to Understanding How Artificial Intelligence Is Shaping Our Lives by Anne Scherer,Cindy Candrian Pdf
As we increasingly integrate artificial intelligence (AI) into our everyday lives, many pressing questions remain: What exactly is AI, and how does it differ from human intelligence? How will AI influence our future, and what challenges must we overcome to develop ethical AI? Explore the exciting world of AI and its impact on our daily lives and society with this ultimate guide. Dr. Anne Scherer and Dr. Cindy Candrian reveal everything about the latest scientific findings on the big questions of AI. Discover the evolution of AI and how unconscious perceptions can influence our trust in it. Learn more about the creativity of machines and how our data is used by AI. With this book, you will learn how to harness the power of AI to make better decisions and what to pay particular attention to, so you don't inadvertently get manipulated, deprived of your abilities, or led to discriminatory decisions. Are you ready to unlock the secrets of "You & AI"? Then this book is perfect for you.
Design of a mobile phone-based Artificial Intelligence (AI) application to assess dietary intake and provide nudges to improve healthy eating choices: Formative research in Ghana and Vietnam by Braga, Bianca C.,Aberman, Noora-Lisa,Arrieta, Alejandra,Bannerman, Boateng,Burns, Adam,Folson, Gloria,Huynh, Phuong,Koch, Bastien,McCloskey, Pete,Nguyen, Phuong Hong,Zakariah-Akoto, Sawudatu,Hughes, David,Gelli, Aulo Pdf
Background: Low quality diets are a public health problem affecting individuals of all ages worldwide. Nudging for Good (NFG) is a new research project aimed at developing, validating, and examining the feasibility of using artificial intelligence (AI)-based technology to improve adolescent girls' diets in urban Ghana and Vietnam. Objectives: Provide evidence to support the design of a new mobile phone intervention including: a) identifying the demand for mobile app to improve diets in adolescent girls; b) defining the intervention objectives and activities to be delivered via a mobile app; and c) assessing the potential for nudging functionality to be incorporated in the mobile app. Methods: This study used mixed methods including both literature and nutrition-related app reviews, as well as focus group discussions. A literature review was conducted using PubMed and Google Scholar databases, and intervention studies using technology to improve nutrition outcomes of adolescents were included. Nine focus group discussions (five in Ghana and four in Vietnam) were undertaken with 61 girls to gauge smartphone and internet access and use and to obtain feedback on the prototype of a mobile app. Results: Nine studies met the selection criteria for the literature review, including seven randomized control trials (RCTs) and two systematic reviews. The evidence from the literature on how technology-based nutrition interventions should be conducted and what should be the best outcomes of success was mixed. Most of the 22 apps reviewed required manual entry of dietary information, and recommended diets based on motivation to change body weight. In the focus groups discussions, the adolescents suggested modifications on the prototype of the mobile app we presented, and indicated possibility to regularly take pictures of foods and beverages during meal time. Conclusion: We did not find an app available in either the Ghana or Vietnam markets that could improve dietary quality of adolescents without focusing on weight. Most apps available only had manual features to log food intake, which is time consuming. Moreover, adolescents expressed interest in using a new, modified version of the app we presented. We aim at developing a new mobile phone application based on AI technology that gives personalized and reliable nutrition advice to improve adolescent girls’ diets. However, the literature review was not conclusive on what should be the characteristics of an app and how interventions to measure an app’s impact on dietary quality should be conducted.
Artificial Intelligence in Practice by Bernard Marr Pdf
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.