Author: Charles Nehme
Publisher: Charles Nehme
ISBN:
Category : Computers
Languages : en
Pages : 75
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Book Description
Exploring the Boundless Possibilities of Artificial Intelligence and Building Management Systems Welcome to a world where the boundaries between human ingenuity and technological advancement are becoming increasingly blurred. In this era of rapid progress, we find ourselves standing at the forefront of a revolution driven by two powerful forces: Artificial Intelligence (AI) and Building Management Systems (BMS). These two domains, with their distinct yet interwoven capabilities, are reshaping our understanding of what is achievable in the realms of automation, efficiency, and sustainability. Artificial Intelligence, once confined to the realms of science fiction, has emerged as a transformative force that permeates nearly every aspect of our lives. From intelligent personal assistants that anticipate our needs to autonomous vehicles that navigate our cities, AI is revolutionizing the way we interact with technology. Its ability to analyze vast amounts of data, recognize patterns, and learn from experience empowers us to solve complex problems and make informed decisions like never before. Simultaneously, Building Management Systems have emerged as critical enablers of smart infrastructure and sustainable practices. These systems, composed of hardware and software components, orchestrate the functioning of buildings, optimizing energy consumption, improving occupant comfort, and enhancing operational efficiency. BMS leverages sensors, actuators, and data analytics to monitor and control various building systems, such as heating, ventilation, lighting, and security, ensuring seamless integration and intelligent management. The convergence of AI and BMS holds immense promise, offering a synergistic approach to creating intelligent and responsive built environments. By harnessing the power of AI algorithms, BMS can unlock new levels of efficiency and adaptability. Machine learning algorithms can continuously analyze building performance data, identify patterns, and optimize system operations in real-time, leading to reduced energy consumption, lower costs, and improved occupant satisfaction. Moreover, AI-driven BMS solutions have the potential to transform buildings into living ecosystems that actively learn and adapt to the needs of their occupants. Imagine a building that learns the preferences of its inhabitants, adjusting temperature and lighting settings accordingly. Picture an infrastructure that can predict maintenance requirements, preventing system failures and reducing downtime. This new era of intelligent buildings, empowered by AI and BMS, promises to redefine the way we design, construct, and inhabit our living and working spaces. However, as with any transformative technology, the integration of AI and BMS also poses its share of challenges. Ethical considerations regarding data privacy, transparency, and the responsible use of AI algorithms must be at the forefront of our discussions. We must also ensure that these technological advancements are accessible to all, promoting inclusivity and reducing the digital divide. As we embark on this journey, it is crucial to navigate the complexities and uncertainties with a sense of responsibility, constantly evaluating the impact of our decisions on society and the environment. This book serves as a guide, illuminating the intricate relationship between AI and BMS, unveiling their potential and examining their implications. Through a collection of insightful chapters, we delve into the practical applications of AI in building management, explore cutting-edge research, and highlight success stories from across industries. Our aim is to provide a comprehensive overview of the advancements, challenges, and opportunities that lie at the intersection of these two domains. As you embark on this enlightening journey, we invite you to open your mind to the boundless possibilities that AI and BMS offer. Together, let us unlock the potential of intelligent buildings, foster sustainable practices, and shape a future where technology enhances our lives while preserving the very essence of what it means to be human. Charles Nehme
Author: John T. Wen
Publisher: Springer
ISBN: 3319684620
Category : Technology & Engineering
Languages : en
Pages : 321
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Book Description
Readers of this book will be shown how, with the adoption of ubiquituous sensing, extensive data-gathering and forecasting, and building-embedded advanced actuation, intelligent building systems with the ability to respond to occupant preferences in a safe and energy-efficient manner are becoming a reality. The articles collected present a holistic perspective on the state of the art and current research directions in building automation, advanced sensing and control, including: model-based and model-free control design for temperature control; smart lighting systems; smart sensors and actuators (such as smart thermostats, lighting fixtures and HVAC equipment with embedded intelligence); and energy management, including consideration of grid connectivity and distributed intelligence. These articles are both educational for practitioners and graduate students interested in design and implementation, and foundational for researchers interested in understanding the state of the art and the challenges that must be overcome in realizing the potential benefits of smart building systems. This edited volume also includes case studies from implementation of these algorithms/sensing strategies in to-scale building systems. These demonstrate the benefits and pitfalls of using smart sensing and control for enhanced occupant comfort and energy efficiency.
Author: Charles Nehme
Publisher: Charles Nehme
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 38
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Book Description
Building Management Systems (BMS) have revolutionized the way we manage and operate buildings. As technology continues to advance, the capabilities and potential of BMS are expanding, offering new opportunities for energy optimization, occupant comfort, and sustainability. This book aims to provide a comprehensive understanding of BMS, from its fundamental principles to emerging trends and innovations. In this book, we delve into the intricacies of BMS, exploring its components, architecture, and functionalities. We discuss the interconnectedness of various building systems and the role of BMS in integrating and optimizing their performance. With a focus on energy management, we examine strategies for reducing energy consumption, integrating renewable energy sources, and participating in demand response programs. Maintenance and lifecycle management of BMS are essential considerations for ensuring its long-term effectiveness. We provide insights into preventive maintenance practices, software updates, and equipment replacement, enabling building managers to maintain optimal system performance and plan for the future. The integration of BMS with smart building technologies is a key topic of discussion. We explore the integration of IoT devices, data analytics, AI, and machine learning, and how they enhance automation, prediction, and real-time optimization within buildings. We also look at the future trends and innovations in BMS, including digital twins, edge computing, and sustainability practices, providing a glimpse into the exciting possibilities that lie ahead. Throughout this book, we aim to empower building owners, managers, and professionals in the field of facility management with the knowledge and tools to leverage the potential of BMS. We hope that by understanding the principles, functionalities, and future trends of BMS, readers will be able to optimize building performance, enhance occupant experiences, and contribute to a more sustainable future. It is our sincere hope that this book serves as a valuable resource for anyone interested in BMS, whether they are beginners seeking a foundational understanding or experienced professionals looking to stay updated with the latest industry advancements. We invite readers to embark on this journey with us as we explore the world of Building Management Systems and unlock the potential for smarter, more efficient, and sustainable buildings. Charles Nehme
Author: Martin Ford
Publisher: Packt Publishing Ltd
ISBN: 178913126X
Category : Computers
Languages : en
Pages : 540
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Book Description
Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.
Author: Andy Pandharikar
Publisher: Packt Publishing Ltd
ISBN: 1803234075
Category : Computers
Languages : en
Pages : 256
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Book Description
Learn how to use artificial intelligence for product and service innovation, including the diverse use cases of Commerce.AI Key FeaturesLearn how to integrate data and AI in your innovation workflowsUnlock insights into how various industries are using AI for innovationApply your knowledge to real innovation use cases like product strategy and market intelligenceBook Description Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions. What you will learnFind out how machine learning can help you identify new market opportunitiesUnderstand how to use consumer data to create new products and servicesUse state-of-the-art AI frameworks and tools for data analysisLaunch, track, and improve products and services with AIRise above the competition with unparalleled insights from AITurn customer touchpoints into business winsGenerate high-conversion product and service copyWho this book is for This AI book is for AI developers, data scientists, data product managers, analysts, and consumer insights professionals. The book will guide you through the process of product and service innovation, no matter your pre-existing skillset.
Author: Limao Zhang
Publisher: Springer Nature
ISBN: 9811628424
Category : Technology & Engineering
Languages : en
Pages : 271
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Book Description
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Author: Charles Nehme
Publisher: Charles Nehme
ISBN:
Category : Architecture
Languages : en
Pages : 41
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Book Description
Data centers, the backbone of the modern digital world, play a critical role in storing, processing, and distributing vast amounts of data. These highly sophisticated facilities demand meticulous monitoring and control to ensure optimal performance, reliability, and energy efficiency. Building Management Systems (BMS) have emerged as indispensable tools for managing data center operations, enabling efficient control of critical infrastructure systems such as cooling, power, security, and fire protection. This book delves into the world of BMS for data centers, providing a comprehensive guide for understanding, implementing, and optimizing these vital systems. It begins by introducing the fundamental concepts of data center infrastructure, highlighting the importance of BMS in ensuring data center uptime and performance. Subsequent chapters explore the architecture, components, and functionalities of BMS, covering topics such as monitoring and control of cooling and HVAC systems, power distribution and UPS management, security and fire prevention, data collection and trending, integration and automation, and deployment and maintenance considerations. Throughout the book, real-world examples and case studies are interwoven to demonstrate the practical application of BMS in various data center scenarios. These examples showcase the tangible benefits of BMS implementation, including improved energy efficiency, reduced operational costs, enhanced security, and enhanced overall data center reliability. As the data center industry continues to evolve, embracing emerging technologies such as artificial intelligence (AI) and machine learning (ML), the role of BMS is poised to expand further. This book concludes by exploring the future trends in BMS for data centers, highlighting the potential of AI-powered BMS, IoT integration, cloud-based BMS, and remote management capabilities. Whether you are a data center engineer, IT professional, facility manager, or simply curious about the intricacies of data center operations, this book will provide you with a valuable resource for understanding and harnessing the power of BMS to optimize data center performance and efficiency.
Author: Paul Webb
Publisher:
ISBN:
Category :
Languages : en
Pages : 165
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Book Description
This book has been written to enable you to become an Energy Expert. Whether you're responsible for building management, look after utilities, are in control of finances, operate a business, or just want to get up to speed on energy management and efficiency, the book can help you to do just that. Prepared by Paul Webb, a MEI Chartered Energy Manager with a wealth of experience and expertise, it is packed full of information and insight to help you save energy, thus both looking after the environment and saving money. Covering everything from the history of energy purchasing through to profiling, how to do an assessment through to legislation, and more, it is a comprehensive tool to enable you to get the most out of your energy.Topics include what energy management is, building energy profiles, energy purchasing, assessments, data, best practice, codes, standards and legislation, technologies, and maintenance. Each chapter includes questions to help you check your understanding. After you have read the book you will have a good understanding of energy consumption and maintenance, with tangible and specific actions to undertake
Author: Lyu, Kangjuan
Publisher: IGI Global
ISBN: 1799850250
Category : Computers
Languages : en
Pages : 353
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Book Description
Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.
Author: Meredith Broussard
Publisher: MIT Press
ISBN: 026253701X
Category : Computers
Languages : en
Pages : 247
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Book Description
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.
