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| cutting edge ai technology: Cutting-Edge Artificial Intelligence Anna Leigh, 2018-08 Filled with cool photos and information about the latest in artificial intelligence technology, this book shows readers how AI has developed, how it is used, and what might be in store for the future of AI. |
| cutting edge ai technology: The AI Advantage Thomas H. Davenport, 2019-08-06 Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review. |
| cutting edge ai technology: Cutting-Edge Business Technologies in the Big Data Era Saad G. Yaseen, |
| cutting edge ai technology: Working with AI Thomas H. Davenport, Steven M. Miller, 2022-09-27 Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers. These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems. |
| cutting edge ai technology: Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences Pradip Debnath, S. A. Mohiuddine, 2021-07-15 Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics. |
| cutting edge ai technology: Blockchain and AI Technology in the Industrial Internet of Things Pani, Subhendu Kumar, Lau, Sian Lun, Liu, Xingcheng, 2021-01-08 Blockchain and artificial intelligence (AI) in industrial internet of things is an emerging field of research at the intersection of information science, computer science, and electronics engineering. The radical digitization of industry coupled with the explosion of the internet of things (IoT) has set up a paradigm shift for industrial and manufacturing companies. There exists a need for a comprehensive collection of original research of the best performing methods and state-of-the-art approaches in this area of blockchain, AI, and the industrial internet of things in this new era for industrial and manufacturing companies. Blockchain and AI Technology in the Industrial Internet of Things compares different approaches to the industrial internet of things and explores the direct impact blockchain and AI technology have on the betterment of the human life. The chapters provide the latest advances in the field and provide insights and concerns on the concept and growth of the industrial internet of things. While including research on security and privacy, supply chain management systems, performance analysis, and a variety of industries, this book is ideal for professionals, researchers, managers, technologists, security analysts, executives, practitioners, researchers, academicians, and students looking for advanced research and information on the newest technologies, advances, and approaches for blockchain and AI in the industrial internet of things. |
| cutting edge ai technology: Cutting-Edge AI and ML Technological Solutions Zemelak Goraga, 2024-01-28 Cutting-Edge AI and ML Technological Solutions: Healthcare Industry is a groundbreaking guide tailored for a diverse audience, including health personnel, data scientists, developers, software engineers, health doctors, graduates in health science, and universities. Unveiling the transformative potential of artificial intelligence (AI) and machine learning (ML) in healthcare, this book navigates through foundational principles, data management advancements, clinical decision support systems, patient care revolution, administrative automation, and predictive analytics for public health. For health professionals, it provides actionable insights into integrating AI for precise diagnostics, personalized treatment plans, and an evolved patient care experience. Data scientists and developers discover methodologies to optimize health data management and create intelligent clinical decision support systems. Universities and health science graduates gain a comprehensive understanding of cutting-edge technologies reshaping the healthcare landscape. This book stands as a beacon, guiding the healthcare industry towards a future where technology enhances patient outcomes and fosters collaborative, data-driven innovation. |
| cutting edge ai technology: Waste Tide Chen Qiufan, 2019-04-30 A LOCUS AWARD FINALIST FOR BEST FIRST NOVEL Award-winning author Chen Qiufan's Waste Tide is a thought-provoking vision of the future. Translated by Ken Liu, who brought Cixin Liu's Hugo Award-winning The Three Body Problem to English-speaking readers. Mimi is drowning in the world's trash. She’s a waste worker on Silicon Isle, where electronics -- from cell phones and laptops to bots and bionic limbs — are sent to be recycled. These amass in towering heaps, polluting every spare inch of land. On this island off the coast of China, the fruits of capitalism and consumer culture come to a toxic end. Mimi and thousands of migrant waste workers like her are lured to Silicon Isle with the promise of steady work and a better life. They're the lifeblood of the island’s economy, but are at the mercy of those in power. A storm is brewing, between ruthless local gangs, warring for control. Ecoterrorists, set on toppling the status quo. American investors, hungry for profit. And a Chinese-American interpreter, searching for his roots. As these forces collide, a war erupts -- between the rich and the poor; between tradition and modern ambition; between humanity’s past and its future. Mimi, and others like her, must decide if they will remain pawns in this war or change the rules of the game altogether. An accomplished eco-techno-thriller with heart and soul as well as brain. Chen Qiufan is an astute observer, both of the present world and of the future that the next generation is in danger of inheriting. – David Mitchell, New York Times bestselling author of Cloud Atlas |
| cutting edge ai technology: Artificial Intelligence in Financial Markets Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos, 2016-11-21 As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field. |
| cutting edge ai technology: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 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. |
| cutting edge ai technology: The AI-Powered Workplace Ronald Ashri, 2019-12-09 We are entering the next wave of digital transformation. Artificial intelligence has an ever-increasing significance in our daily lives, and there is no difference when it comes to our workplaces. It is up to you to choose how to utilize these new tools to sharpen your organization’s competitive advantage, improve your team’s well-being, and help your business thrive. In The AI-Powered Workplace, author Ronald Ashri provides a map of the digital landscape to guide you on this timely journey. You’ll understand how the combination of AI, data, and conversational collaboration platforms—such as Slack, Microsoft Teams, and Facebook Workplace—is leading us to a radical shift in how we communicate and solve problems in the modern workplace. Our ability to automate decision-making processes through the application of AI techniques and through modern collaboration tools is a game-changer. Ashri skillfully presents his industry expertise and captivating insights so you have a thorough understanding of how to best combine these technologies with execution strategies that are optimized to your specific needs. The AI-Powered Workplace is an essential technical, cultural, and business handbook that arms you with clear steps to redefine and improve how you get work done. Software is now a proactive workplace partner revolutionizing all aspects of our professional lives from how we collaborate in the digital sphere to the literal physical environments in which we operate our business. This book not only ensures that you do not get left behind, but that you are consistently light years ahead of the pack. What You'll Learn Learn how the introduction of AI-powered applications in the workplace replaces or augments our capabilities and enables activities that were not possible beforeRealize how the combination of AI, data, and messaging platforms (Slack, Microsoft Teams, Skype, WhatsApp) leads to a radical shift in how we communicate, collaborate, and solve problemsDevelop strategies for the digital transformation of organizations through the use of AI-powered applications (from simple chatbots to more complex conversational applications) that operate within messaging environments we use to collaborate with our colleagues dailyKnow the dangers and ethical questions that the introduction of these technologies can cause in the workplace Who This Book is For Professionals at all levels interested in learning how AI, conversational platforms, and data can change organizations, including but not limited to team leaders, managers, and CxOs |
| cutting edge ai technology: The Artificial Intelligence Infrastructure Workshop Chinmay Arankalle, Gareth Dwyer, Bas Geerdink, Kunal Gera, Kevin Liao, Anand N.S., 2020-08-17 Explore how a data storage system works – from data ingestion to representation Key FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered. |
| cutting edge ai technology: Cutting-Edge Business Technologies in the Big Data Era Saad G. Yaseen, 2023-08-31 This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies? |
| cutting edge ai technology: An Introduction to Deep Reinforcement Learning Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau, 2018-12-20 Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike. |
| cutting edge ai technology: Embracing Cutting-Edge Technology in Modern Educational Settings Chee, Ken Nee, Sanmugam, Mageswaran, 2023-12-29 As classrooms transform into dynamic digital arenas, educators are presented with an unprecedented canvas to reimagine teaching methodologies, forging pathways toward enriched engagement, personalized instruction, and unparalleled efficacy. Embracing Cutting-Edge Technology in Modern Educational Settings delves into the fusion of pedagogy and innovation, unraveling the myriad ways through which contemporary technology can revolutionize learning experiences. The book embarks on a comprehensive journey to unearth the profound impact of emerging technologies within the educational landscape of the digital age. This publication is a mosaic of scholarly voices and innovative minds collaborating to illuminate how cutting-edge technology can be seamlessly integrated into modern learning environments. By traversing a spectrum of topics, the book casts light on the paradigm shifts from personalized learning orchestrated by Artificial Intelligence (AI), to the immersive experience offered by virtual and augmented reality, to the engagement entwined within gamified learning. The book acknowledges possibilities for uses of new technology in education will extend far beyond our current capabilities, which raises questions beyond how it can be useful. Ethical nuances are probed, data privacy's mantle must be vigilantly upheld, and the uncharted territories of blockchain, robotics, and quantum computing within education are explored and discussed within this text. The coverage of each topic eludes to the massive potential for transformation. Learning analytics, the educational Internet of Things (IoT), mobile learning, and the ascent of AI-powered tutors all find their place within this technologically enhanced academic sphere. This book is ideal for various stakeholders who share an affinity for the confluence of education and technology, including educators, researchers, technology developers, policymakers, administrators, and graduate students. |
| cutting edge ai technology: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| cutting edge ai technology: AI for Emerging Verticals Muhammad Zeeshan Shakir, Naeem Ramzan, 2020-12-31 By specializing in a vertical market, companies can better understand their customers and bring more insight to clients in order to become an integral part of their businesses. This approach requires dedicated tools, which is where artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes. |
| cutting edge ai technology: Edge-AI in Healthcare Sonali Vyas, Akanksha Upadhyaya, Deepshikha Bhargava, Vinod Kumar Shukla, 2023-07-31 The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data. Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare. This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications. |
| cutting edge ai technology: Deep Medicine Eric Topol, 2019-03-12 A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved. |
| cutting edge ai technology: Deploying Machine Learning Robbie Allen, 2019-05 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. |
| cutting edge ai technology: Radically Human Paul Daugherty, H. James Wilson, 2022-04-26 Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation. |
| cutting edge ai technology: The Digital War Winston Ma, 2021-01-19 What new directions in China’s digital economy mean for us all China is the largest homogenous digital market on Earth: unified by language, culture, and mobile payments. Not only a consumer market of unrivaled size, it’s also a vast and hyperactive innovation ecosystem for new technologies. And as China’s digital economy moves from a consumer-focused phase to an enterprise-oriented one, Chinese companies are rushing to capitalize on ways the newer wave of tech—the Internet of Things, AI, blockchain, cloud computing, and data analytics (iABCD)—can unlock value for their businesses from non-traditional angles. In China’s Data Economy, Winston Ma—investment professional, capital markets attorney, adjunct professor of digital economy, and bestselling author—details the profound global implications of this new direction, including how Chinese apps for services such as food delivery expand so quickly they surpass their U.S. models within a couple of years, and how the sheer scale and pace of Chinese innovation might lead to an AI arms race in which China and the U.S. vie aggressively for leadership. How China’s younger netizens participate in their evolving digital economy as consumers, creators, and entrepreneurs Why Online/Office (OMO, Online-merge-with-Offline) integration is viewed as the natural next step on from the O2O (Online-to-Offline) model used in the rest of the world The ways in which traditional Chinese industries such as retail, banking, and insurance are innovating to stay in the game What emerging markets can learn from China as they leapfrog past the personal computer age altogether, diving straight into the mobile-first economy Anyone interested in what’s next for Chinese digital powerhouses—investors, governments, entrepreneurs, international business players—will find this an essential guide to what lies ahead as China’s flexes new digital muscles to create new forms of value and challenge established tech giants across the world. |
| cutting edge ai technology: Applied Edge AI Pethuru Raj, G. Nagarajan, R.I. Minu, 2022-04-05 The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication |
| cutting edge ai technology: Cutting-Edge Technologies for Business Sectors Ertu?rul, Duygu Çelik, Elçi, Atilla, 2024-10-17 In the rapidly evolving 21st century, emerging digital technologies are transforming every aspect of modern life, from social interactions to business practices. These advancements are reshaping industries, influencing human behavior, and redefining societal structures. Understanding the impact of technologies like AI, blockchain, and virtual reality is crucial for navigating today's digital world and its challenges. Cutting-Edge Technologies for Business Sectors provides a comprehensive look at how these innovations are revolutionizing industries such as healthcare, education, law, and tourism. By exploring the ethical, practical, and societal implications of digital tools, this volume offers valuable insights for academics, professionals, and policymakers looking to harness the power of technology and shape the future. |
| cutting edge ai technology: Artificial Intelligence in Behavioral and Mental Health Care David D. Luxton, 2015-09-10 Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings |
| cutting edge ai technology: The Technology Fallacy Gerald C. Kane, Anh Nguyen Phillips, Jonathan R. Copulsky, Garth R. Andrus, 2022-08-23 Why an organization's response to digital disruption should focus on people and processes and not necessarily on technology. Digital technologies are disrupting organizations of every size and shape, leaving managers scrambling to find a technology fix that will help their organizations compete. This book offers managers and business leaders a guide for surviving digital disruptions—but it is not a book about technology. It is about the organizational changes required to harness the power of technology. The authors argue that digital disruption is primarily about people and that effective digital transformation involves changes to organizational dynamics and how work gets done. A focus only on selecting and implementing the right digital technologies is not likely to lead to success. The best way to respond to digital disruption is by changing the company culture to be more agile, risk tolerant, and experimental. The authors draw on four years of research, conducted in partnership with MIT Sloan Management Review and Deloitte, surveying more than 16,000 people and conducting interviews with managers at such companies as Walmart, Google, and Salesforce. They introduce the concept of digital maturity—the ability to take advantage of opportunities offered by the new technology—and address the specifics of digital transformation, including cultivating a digital environment, enabling intentional collaboration, and fostering an experimental mindset. Every organization needs to understand its “digital DNA” in order to stop “doing digital” and start “being digital.” Digital disruption won't end anytime soon; the average worker will probably experience numerous waves of disruption during the course of a career. The insights offered by The Technology Fallacy will hold true through them all. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review. |
| cutting edge ai technology: IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges Pradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar, 2023-08-23 This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems. |
| cutting edge ai technology: The LegalTech Book Sophia Adams Bhatti, Akber Datoo, Drago Indjic, 2020-06-01 Written by prominent thought leaders in the global FinTech investment space, The LegalTech Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: The current status of LegalTech, why now is the time for it to boom, the drivers behind it, and how it relates to FinTech, RegTech, InsurTech and WealthTech Applications of AI, machine learning and deep learning in the practice of law; e-discovery and due diligence; AI as a legal predictor LegalTech making the law accessible to all; online courts, online dispute resolution The Uberization of the law; hiring and firing through apps Lawbots; social media meets legal advice To what extent does LegalTech make lawyers redundant? Cryptocurrencies, distributed ledger technology and the law The Internet of Things, data privacy, automated contracts Cybersecurity and data Technology vs. the law; driverless cars and liability, legal rights of robots, ownership rights over works created by technology Legislators as innovators-- |
| cutting edge ai technology: The AI Horizon Eric N. Peterson, 2024-10-27 The AI Horizon: Navigating Ethical, Societal, and Technical Challenges is your essential guide to understanding the profound impact of artificial intelligence on our world. This comprehensive eBook takes you deep into the transformative power of AI, exploring how it reshapes industries, influences societal norms, and presents new ethical dilemmas. From enhancing everyday life and revolutionizing workplaces to redefining governance and public policy, this book demystifies AI's role across various sectors, offering a clear view of its potential to solve complex global problems. Through insightful and engaging chapters, readers will discover the essence of AI technologies, their impact on communication, governance, cybersecurity, and business, and their pivotal role in addressing today's most pressing issues. The book emphasizes AI's dual nature as a tool for extraordinary progress and a subject of vital ethical debate, urging a thoughtful and balanced approach to its development and use. As AI becomes increasingly embedded in our daily lives, The AI Horizon highlights the need for informed conversations, lifelong learning, and a commitment to responsible practices. It invites readers to understand the profound changes AI brings and actively shape a future where technology and human values align for the greater good. This eBook is a must-read for anyone eager to explore the opportunities and challenges of the AI era, guiding us toward a future where innovation and ethics work hand in hand. |
| cutting edge ai technology: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| cutting edge ai technology: The AI Cleanse: Transforming Wastewater Treatment Through Artificial Intelligence Manoj Chandra Garg, |
| cutting edge ai technology: Advancing Smarter and More Secure Industrial Applications Using AI, IOT, and Blockchain Technology Pethuru Raj Chelliah, 2021 This book articulates and accentuates various AI algorithms, fresh innovations in the IoT and blockchain spaces explaining how suggested AI algorithms come in handy in producing predictive and prescriptive insights out of big data-- |
| cutting edge ai technology: Cutting Edge Applications of Computational Intelligence Tools and Techniques Kevin Daimi, Abeer Alsadoon, Luis Coelho, 2023-11-30 The book delivers an excellent professional development resource for educators and practitioners on the cutting-edge computational intelligence techniques and applications. It covers many areas and topics of computational intelligence techniques and applications proposed by computational intelligence experts and researchers and furthers the enhancement of the community outreach and engagement component of computational intelligence techniques and applications. Furthermore, it presents a rich collection of manuscripts in highly regarded computational intelligence techniques and applications topics that have been creatively compiled. Computers are capable of learning from data and observations and providing solutions to real-life complex problems, following the same reasoning approach of human experts in various fields. This book endows a rich collection of applications in widespread areas. Among the areas addressed in this book are Computational Intelligence Principles and Techniques; CI in Manufacturing, Engineering, and Industry; CI in Recognition and Processing; CI in Robotics and Automation; CI in Communications and Networking; CI in Traditional Vehicles, Electric Vehicles, and Autonomous Vehicles; CI in Smart Cities and Smart Energy Systems; and CI in Finance, Business, Economics, and Education. These areas span many topics including repetitive manufacturing, discrete manufacturing, process manufacturing, electronic systems, speech recognition, pattern recognition, signal processing, image processing, industrial monitoring, vision systems for automation and robotics, cooperative and network robotics, perception, planning, control, urban traffic networks control, vehicle-to-roadside communications, smart buildings, smart urbanism, smart infrastructure, smart connected communities, smart energy, security, arts, and music. |
| cutting edge ai technology: Artificial Unintelligence Meredith Broussard, 2019-01-29 A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone. |
| cutting edge ai technology: AI and Big Data’s Potential for Disruptive Innovation Strydom, Moses, Buckley, Sheryl, 2019-09-27 Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions. |
| cutting edge ai technology: Japan Nutrition Teiji Nakamura, 2021-11-27 This Open Access auto-translation book demonstrates a time series of nutrition improvement in Japan since the introduction of nutrition sciences to Japan about 150 years ago. The chapters present the historical event where nutritional deficiency due to food shortage was improved in almost a century, by the introduction of nutrition policy and practices such as the Nutrition Improvement Law. The book contributed to the construction of a longevity nation by resolving the double burden of malnutrition, which is a mixture of undernutrition and overnutrition and creating a social environment in which sustainable healthy diets can be accessed. This publication is designed mainly for nutrition specialists, nutritionists, nutrition administrators, medical doctors, pharmacists, nurses, physiotherapists, nutrition educators, cookers, nutrition volunteers, health and nutrition food developers, school lunch managers, and etc. Furthermore, students studying nutrition, teachers involved in the education and training of dietitians, and general consumers who are interested in nutrition, diets, and how to improve malnutrition, will find this book useful. Through this book, dietitians, nutrition volunteers, and consumers engaged in nutrition improvement can understand the significance of nutrition improvement and know specific methods. Young nutritionists who will study and research nutrition can learn the importance of nutrition and take pride in nutrition research. The government official who implements nutrition policy can know the concrete method of nutrition policy. Today, people around the world understand the importance of nutrition and are gaining international interest. However, malnutrition has not improved as much as expected. This book is an interesting way for everyone involved in nutrition to learn how to eradicate malnutrition from the world. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). The present version has been revised technically and linguistically by the author in collaboration with Professor Emeritus Dr. Andrew R. Durkin of Indiana University. |
| cutting edge ai technology: Smart Big Data in Digital Agriculture Applications Haoyu Niu, |
| cutting edge ai technology: Algorithms, Artificial Intelligence and Beyond Dariusz Brzeziński, Kamil Filipek, Kuba Piwowar, Malgorzata Winiarska-Brodowska, 2024-12-11 This volume brings together eminent scholars from various parts of the world, representing different fields of knowledge in order to explore the social, cultural, political and economic effects of the development of new technologies. On the one hand, the book contextualises the discussion of algorithms and artificial intelligence (AI) within the broader framework of the digital revolution, on the other it also examines individual experiences and practices. Moreover, in light of the speed at which algorithms and AI are being incorporated into various aspects of life, contributors also question the ethical implications of their development. The widespread development of AI and algorithmic solutions is one of the most important contemporary phenomena. It has an overwhelming impact on the social and cultural life of the 21st century. In this context, one can point to both exciting examples of the application of algorithms and AI in business and popular culture, as well as the challenges of widening social inequality or the expanding scope of surveillance. The scope of the impact of algorithms and AI makes the formation of new theoretical frameworks vital. This is the aim of this book, which will be of interest to academics within the humanities and social sciences with an interest in technology and the impact of algorithms and AI on society and culture. |
| cutting edge ai technology: A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning Muralidhar Kurni, Mujeeb Shaik Mohammed, Srinivasa K G, 2023-06-28 This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology. |
| cutting edge ai technology: AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws Max Parasol, 2021-12-16 The book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws (as part of Network Sovereignty policies) affect innovation in artificial intelligence (AI). The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the Cyber Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation. |
Self-injury/cutting - Symptoms and causes - Mayo Clinic
Nov 21, 2024 · Nonsuicidal self-injury, often simply called self-injury, is the act of harming your own body on purpose, such as by cutting or burning yourself. It's usually not meant as a …
Cutting and self-harm: Why it happens and what to do
May 31, 2023 · What drives forms of self-harm like cutting that some teens engage in? Gaining an understanding of why some children harm themselves by cutting their skin, what signs to be …
Cutting: Self-Harm, on Arm, Yourself, Self-Injury, in ... - Healthline
Jan 18, 2019 · Find out the causes, risk factors, and signs of cutting, what you can do if you discover a loved one is harming themselves, and where to turn for support.
Cutting & Self-Harm: Warning Signs and Treatment - WebMD
May 22, 2024 · Cutting is the most common form of self-injury — more than 80% of people who self-harm choose this method — but it’s not the only one.
Self-Injury: 4 Reasons People Cut and What to Do
Oct 20, 2016 · The technical term for cutting is non-suicidal self-injury, and it’s defined as the deliberate, self-inflicted destruction of body tissue. But keep in mind two important facts: First, …
Understanding Cutting and How to Find Help - Verywell Health
Apr 7, 2023 · Cutting is a form of intentional self-harm used to cope with stress or trauma or to process feelings and should always be taken seriously. Self-harm often indicates a mental …
Cutting & Self-Injury (for Teens) | Nemours KidsHealth
Most of us know about cutting — using a sharp object like a razorblade, knife, or scissors to make marks, cuts, or scratches on one's own body. But cutting is just one form of self-injury.
Self-injury (Cutting, Self-Harm or Self-Mutilation)
Self-injury, also known as self-harm, self-mutilation, or self-abuse—occurs when someone repeatedly harms themselves on purpose in a way that is impulsive and not intended to be …
Self-harm by cutting: Causes, effects, & treatment - rula.com
Feb 19, 2025 · Cutting is a type of self-harm that involves using sharp objects to make cuts or scratches on your skin. Similar to other types of self-harm, cutting is often used as a coping …
Cutting and Self-Harm - HelpGuide.org
Aug 21, 2024 · While cutting and self-harming occurs most frequently in adolescents and young adults, it can happen at any age. Because clothing can hide physical injuries, and inner turmoil …
Self-injury/cutting - Symptoms and causes - Mayo Clinic
Nov 21, 2024 · Nonsuicidal self-injury, often simply called self-injury, is the act of harming your own body on purpose, such as by cutting or burning yourself. It's usually not meant as a …
Cutting and self-harm: Why it happens and what to do
May 31, 2023 · What drives forms of self-harm like cutting that some teens engage in? Gaining an understanding of why some children harm themselves by cutting their skin, what signs to be …
Cutting: Self-Harm, on Arm, Yourself, Self-Injury, in ... - Healthline
Jan 18, 2019 · Find out the causes, risk factors, and signs of cutting, what you can do if you discover a loved one is harming themselves, and where to turn for support.
Cutting & Self-Harm: Warning Signs and Treatment - WebMD
May 22, 2024 · Cutting is the most common form of self-injury — more than 80% of people who self-harm choose this method — but it’s not the only one.
Self-Injury: 4 Reasons People Cut and What to Do
Oct 20, 2016 · The technical term for cutting is non-suicidal self-injury, and it’s defined as the deliberate, self-inflicted destruction of body tissue. But keep in mind two important facts: First, …
Understanding Cutting and How to Find Help - Verywell Health
Apr 7, 2023 · Cutting is a form of intentional self-harm used to cope with stress or trauma or to process feelings and should always be taken seriously. Self-harm often indicates a mental …
Cutting & Self-Injury (for Teens) | Nemours KidsHealth
Most of us know about cutting — using a sharp object like a razorblade, knife, or scissors to make marks, cuts, or scratches on one's own body. But cutting is just one form of self-injury.
Self-injury (Cutting, Self-Harm or Self-Mutilation)
Self-injury, also known as self-harm, self-mutilation, or self-abuse—occurs when someone repeatedly harms themselves on purpose in a way that is impulsive and not intended to be …
Self-harm by cutting: Causes, effects, & treatment - rula.com
Feb 19, 2025 · Cutting is a type of self-harm that involves using sharp objects to make cuts or scratches on your skin. Similar to other types of self-harm, cutting is often used as a coping …
Cutting and Self-Harm - HelpGuide.org
Aug 21, 2024 · While cutting and self-harming occurs most frequently in adolescents and young adults, it can happen at any age. Because clothing can hide physical injuries, and inner turmoil …
