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| artificial intelligence in engineering design: Artificial Intelligence in Engineering Design Christopher Tong, Duvvuru Sriram, 2012-12-02 Artificial Intelligence in Engineering Design is a three volume edited collection of key papers from the field of artificial intelligence and design, aimed at providing a description of the field, and focusing on how ideas and methods from artifical intelligence can help engineers in the design of physical artifacts and processes. The book surveys a wide variety of applications in the areas of civil, mechanical, chemical, VLSI, electrical, and computer engineering. The contributors are from leading academic computer-aided design centers as well as from industry. |
| artificial intelligence in engineering design: Artificial Intelligence in Engineering Design Bozzano G Luisa, 2012-12-02 Artificial Intelligence in Engineering Design is a three-volume edited collection of key papers from the field of AI and design, aimed at providing a state-of-the art description of the field, and focusing on how ideas and methods from artificial intelligence can help engineers in the design of physical artifacts and processes. The books survey a wide variety of applications in the areas of civil, chemical, electrical, computer, VLSI, and mechanical engineering. |
| artificial intelligence in engineering design: Artificial Intelligence in Structural Engineering Ian Smith, 1998-07-15 This book presents the state of the art of artificial intelligence techniques applied to structural engineering. The 28 revised full papers by leading scientists were solicited for presentation at a meeting held in Ascona, Switzerland, in July 1998. The recent advances in information technology, in particular decreasing hardware cost, Internet communication, faster computation, increased bandwidth, etc., allow for the application of new AI techniques to structural engineering. The papers presented deal with new aspects of information technology support for the design, analysis, monitoring, control and diagnosis of various structural engineering systems. |
| artificial intelligence in engineering design: Artificial Intelligence in Engineering Design Duvvuru Sriram, Christopher Tong, 1992 |
| artificial intelligence in engineering design: Applications of Artificial Intelligence in Process Systems Engineering Jingzheng Ren, Weifeng Shen, Yi Man, Lichun Dong, 2021-06-05 Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering |
| artificial intelligence in engineering design: Artificial Intelligence in Engineering Design Bozzano G Luisa, 2012-12-02 Artificial Intelligence in Engineering Design, Volume II: Models of Innovative Design, Reasoning About Physical Systems, and Reasoning About Geometry focuses on the processes, programs, techniques, and technologies involved in the employment of artificial intelligence in engineering design. The selection first takes a look at the automated reuse of design plans in BOGART and ARGO, an analogical reasoning system for solving design problems. Topics include analogy mechanisms in ARGO, analogical reasoning and learning, ARGO development environment, using VEXED to construct a design plan, and how BOGART reuses a design plan. The text then ponders on retrieval strategies in a case-based design system and case-based design, including the functions-to-structure design task in the domain of physical devices, design retrieval, proposition, and modification, and the multi-layered case representation. The publication examines mechanism comparison and classification for design; a case-based approach to the design of mechanical linkages; and studies of heuristic knowledge-based approaches for automated configuration generation and innovation. Topics include applications of stress field estimation to geometric optimization, simplification and abstraction operators, mechanism comparison and classification, linkage synthesis, analytic synthesis techniques, and system architecture. The selection is a valuable reference for readers interested in the use of artificial intelligence in engineering design. |
| artificial intelligence in engineering design: Artificial Intelligence and Expert Systems for Engineers C.S. Krishnamoorthy, S. Rajeev, 2018-04-24 This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general. |
| artificial intelligence in engineering design: Applications of Artificial Intelligence in Engineering VI George Rzevski, R.A. Adey, 2012-12-06 This book contains papers presented at the sixth International Conference on Application of Artificial Intelligence in Engineering held in Oxford, UK in was held in Southampton, UK July 1991. The first conference in this series the second in Cambridge, Massachusetts, USA in 1987, the third in 1986, 1989 in Palo Alto, California, USA in 1988, the fourth in Cambridge, UK in and the fifth in Boston, Massachusetts, USA in 1990. The conference series has now established itself as the unique forum for the presentation of the latest research, development and application of artificial intelligence (AI) in all fields of engineering. Consequently, books of conference proceedings provide a historical record of the application of AI in engineering design, analysis, simulation, planning, scheduling, monitoring, control, diagnosis, reliability and quality, as well as in robotics and manufacturing systems, from the early beginnings to mature applications of today. Whilst previously the field was dominated by knowledge-based systems, in this latest volume, for the first time, a significant proportion of papers cover the paradigms of neural networks and genetic algorithms. Learning and self organising behaviour of systems based on these paradigms are particularly important in engineering applications. From a large number of submitted proposals over sixty papers have been selected by members of the Advisory Committee who acted as referees. Pa pers have been grouped under the following headings. |
| artificial intelligence in engineering design: Machine Learning Design Patterns Valliappa Lakshmanan, Sara Robinson, Michael Munn, 2020-10-15 The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly |
| artificial intelligence in engineering design: Artificial Intelligence in Mechanical and Industrial Engineering Kaushik Kumar, Divya Zindani, J. Paulo Davim, 2021-06-20 Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains. |
| artificial intelligence in engineering design: Artificial Intelligence in Design ’96 John S. Gero, Fay Sudweeks, 2012-12-06 Change is one of the most significant parameters in our society. Designers are amongst the primary change agents for any society. As a consequence design is an important research topic in engineering and architecture and related disciplines, since design is not only a means of change but is also one of the keystones to economic competitiveness and the fundamental precursor to manufacturing. The development of computational models founded on the artificial intelligence paradigm has provided an impetus for much of current design research -both computational and cognitive. These forms of design research have only been carried out in the last decade or so and in the temporal sense they are still immature. Notwithstanding this immaturity, noticeable advances have been made both in extending our understanding of design and in developing tools based on that understanding. Whilst many researchers in the field of artificial intelligence in design utilise ideas about how humans design as one source of concepts there is normally no attempt to model human designers. Rather the results of the research presented in this volume demonstrate approaches to increasing our understanding of design as a process. |
| artificial intelligence in engineering design: Design Representation Gabriela Goldschmidt, William L. Porter, 2007-05-28 ...there is a global network of academics, researchers and methodologists who will buy this book or want it in their institute libraries.” Prof. John Harbraken As the field of human computer interaction grows, this book is likely to be a basic resource.” Prof. Chuck Eastman Design representation is necessary for all design activity. You will gain a guide to both theory and practical application in this discussion of representation as it occurs during the process of design. Goldschmidt and Porter give you perspectives on representational issues in design that are both informative and evocative of further inquiry. The unique interdisciplinary approach brings a new dimension to the study of representation, benefiting the global network of researchers, students and practitioners in all areas of design. Rather than addressing the larger framework directly, a series of smaller case studies are presented, each dealing with aspects of representation in architecture and engineering. Binding together historical-cultural, cognitive-social and technological perspectives eliminates the need for further reading. Innovative research methods based on numerous well-illustrated examples will leave you with new ideas to build on. International contributors focus on worldwide research activities, offering you more than just an expansion of a single viewpoint. Design Representation delves into the common roots of representation in all design disciplines through case studies, historical investigations, theoretical constructs and programming. If you are involved in any design activity, this will be a truly exciting addition to your bookshelf. |
| artificial intelligence in engineering design: Systems Engineering and Artificial Intelligence William F. Lawless, Ranjeev Mittu, Donald A. Sofge, Thomas Shortell, Thomas A. McDermott, 2021-11-02 This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges. |
| artificial intelligence in engineering design: Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects Meziane, Farid, Vadera, Sunil, 2009-07-31 This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement--Provided by publisher. |
| artificial intelligence in engineering design: AI by Design Catriona Campbell, 2022-03-14 This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance. |
| artificial intelligence in engineering design: Artificial Intelligence in Design ’92 John S. Gero, 2012-12-06 Design has now become an important research topic in engineering and architecture. Design is one of the keystones to economic competitiveness and the fundamental precursor to manufacturing. The development of computational models founded on the artificial intelligence paradigm has provided an impetus for current design research. This volume contains contributions from the Second International Conference on Artificial Intelligence in Design held in June 1992 in Pittsburgh. They represent the state-of-the-art and the cutting edge of research and development in this field. They are of particular interest to researchers, developers and users of computer systems in design. This volume demonstrates both the breadth and depth of artificial intelligence in design and points the way forward for our understanding of design as a process and for the development of computer-based tools to aiddesigners. |
| artificial intelligence in engineering design: Artificial Intelligence in Design D.T. Pham, 2012-12-06 Computers have been employed for some time in engineering design mainly as numerical or graphical tools to assist analysis and draughting. The advent of the technology of artificial intelligence and expert systems has enabled computers to be applied to less deterministic design tasks which require symbolic manipulation and reasoning, instead of only routine number processing. This book presents recent examples of such applications, focusing on mechanical and manufacturing design. The term 'design' is interpreted here in its wider sense to include creative activities such as planning. The book covers a wide spectrum of design operations ranging from component and product design through to process, tooling and systems design. Its aim is to expose researchers, engineers and engineering designers to several developments in the emerging field of intelligent CAD and to alert them of the possibilites and opportunities in this exciting field. |
| artificial intelligence in engineering design: Engineering Design Clive L. Dym, David C. Brown, 2014-04-17 Contrary to popular mythology, the designs of favorable products and successful systems do not appear suddenly, or magically. This second edition of Engineering Design demonstrates that symbolic representation and related problem-solving methods, offer significant opportunities to clarify and articulate concepts of design to lay a better framework for design research and design education. Artificial Intelligence (AI) provides a substantial body of material concerned with understanding and modeling cognitive processes. This book adopts the vocabulary and a paradigm of AI to enhance the presentation and explanation of design. It includes concepts from AI because of their explanatory power and their utility as possible ingredients of practical design activity. This second edition has been enriched by the inclusion of recent work on design reasoning, computational design, AI in design, and design cognition, with pointers to a wide cross section of the current literature. |
| artificial intelligence in engineering design: Artificial Intelligence in Process Engineering Michael Mavrovouniotis, 2012-12-02 Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers. |
| artificial intelligence in engineering design: Engineering Design Clive L. Dym, 1994-06-24 Design is a central activity in engineering. It is both a creative process not easily defined and a thought process that can, with increasing success, be externalized, articulated, and modeled. This book aims to clarify the issues, providing an operational definition of engineering design and an explication of design as a discipline. In particular, the book focuses on the contribution of AI (artificial intelligence) to engineering design. With its clear presentation of the main ideas of recent AI-based models of design, set within the context of inductive design models, the book offers an integrated view of current thinking about design. Also included is a brief review of some key AI-based problem-solving methods and classical design tools. The author closes with a look ahead at the roles that symbolic representation and knowledge-based (expert) systems can play in engineering design in practice and in education. |
| artificial intelligence in engineering design: Artificial Intelligence Methods For Software Engineering Meir Kalech, Rui Abreu, Mark Last, 2021-06-15 Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s) |
| artificial intelligence in engineering design: Artificial Intelligence-Aided Materials Design Rajesh Jha, Bimal Kumar Jha, 2022-03-15 This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the MATLAB® and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers to develop predictive models through AI/ML algorithms by writing their own computer code or using resources where they do not have to write code Covers downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices Discusses the CALPHAD approach and ways to use data generated from it Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science Uses case studies to examine the importance of using unsupervised machine learning algorithms in determining patterns in datasets This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials. |
| artificial intelligence in engineering design: Artificial Intelligence in Engineering Design: Design representation and models of routine design Christopher Tong, D. Sriram, 1992 V.1. Design representation and models of routine design. v.2. Models of innovat ive design, reasoning about physical systems, and reasoning about geometry. v.3 . Knowledge acquisition, commercial systems, and integrated environments. |
| artificial intelligence in engineering design: Artificial Intelligence Design and Solution for Risk and Security Archie Addo, Srini Centhala, Muthu Shanmugam, 2020-03-13 Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years. |
| artificial intelligence in engineering design: Artificial Intelligence in Design ’94 John S. Gero, Fay Sudweeks, 2012-12-06 Design is an important research topic in engineering and architecture, since design is not only a means of change but also one of the keystones of economic competitiveness and the fundamental precursor to manufacturing. However, our understanding of design as a process and our ability to model it are still very limited. The development of computational models founded on the artificial intelligence paradigm has provided an impetus for much of current design research -- both computational and cognitive. Notwithstanding their immaturity noticeable advances have been made both in extending our understanding of design and in developing tools based on that understanding. The papers in this volume are from the Third International Conference on Artificial Intelligence in Design held in August 1994 in Lausanne, Switzerland. They represent the cutting edge of research and development in this field. They are of particular interest to researchers, developers and users of computer systems in design. This volume demonstrates both the breadth and depth of artificial intelligence in design and points the way forward for our understanding of design as a process and for the development of computer-based tools to aid designers. |
| artificial intelligence in engineering design: Artificial Intelligence Hardware Design Albert Chun-Chen Liu, Oscar Ming Kin Law, 2021-08-23 ARTIFICIAL INTELLIGENCE HARDWARE DESIGN Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization. The authors offer readers an illustration of in-memory computation through Georgia Tech’s Neurocube and Stanford’s Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions. Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like: A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition Perfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity. |
| artificial intelligence in engineering design: Applications of Artificial Intelligence in Engineering Xiao-Zhi Gao, Rajesh Kumar, Sumit Srivastava, Bhanu Pratap Soni, 2021-05-10 This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence. |
| artificial intelligence in engineering design: Artificial Intelligence in Urban Planning and Design Imdat As, Prithwish Basu, Pratap Talwar, 2022-05-14 Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. - Includes a cutting-edge catalogue of AI tools applied to smart city design and planning - Provides case studies from around the globe at various scales - Includes diagrams and graphics for course instruction |
| artificial intelligence in engineering design: Big Data, Big Design Helen Armstrong, 2021-11-04 Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions. |
| artificial intelligence in engineering design: Integrated Intelligent Systems for Engineering Design Xuan F. Zha, Robert J. Howlett, 2006 Aims to describe findings and techniques that use intelligent systems in engineering design, and examples of applications. This book focuses on the integrated intelligent methodologies, frameworks and systems for supporting engineering design activities. It is aimed at researchers, graduate students and engineers involved in engineering design. |
| artificial intelligence in engineering design: Artificial Intelligence and Digital Systems Engineering Adedeji B. Badiru, 2021-08-11 The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations. |
| artificial intelligence in engineering design: Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel, 2019 This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering-- |
| artificial intelligence in engineering design: Human-Centered AI Ben Shneiderman, 2022 The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity. |
| artificial intelligence in engineering design: AI System Support for Conceptual Design John E.E. Sharpe, 2012-12-06 It is well-known that some 85% of the resources necessary to design and bring to market a product are committed by decisions taken in the first 10% of the design activity. This together with the wish to reduce further the time-to-market of high quality innovative products has increased the need for computer support at the conceptual design stage of the engineering design process life-style. This proceedings firmly focuses on the continuing research into new uses of Artificial Intelligence (AI) during the conceptual design process. It shows how novel applications of AI may be integrated with aspects of solid modelling, simulation optimisation and multiple criterion decision- making. A particular emphasis is placed on the use of AI methods in the overall design of products from major Civil Engineering structures to Consumer Electronics. |
| artificial intelligence in engineering design: Artificial Intelligence in Chemical Engineering Thomas E. Quantrille, Y. A. Liu, 2012-12-02 Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. - Allows the reader to learn AI quickly using inexpensive personal computers - Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions - Includes a computer diskette for an illustrated case study - Demonstrates an expert system for separation synthesis (EXSEP) - Presents a detailed review of published literature on expert systems and neural networks in chemical engineering |
| artificial intelligence in engineering design: Advances in Artificial Intelligence and Data Engineering Niranjan N. Chiplunkar, Takanori Fukao, 2021-08-16 This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering. |
| artificial intelligence in engineering design: Artificial Intelligence in Design D T Pham, 1991-04-01 Computers have been employed for some time in engineering design mainly as numerical or graphical tools to assist analysis and draughting. The advent of the technology of artificial intelligence and expert systems has enabled computers to be applied to less deterministic design tasks which require symbolic manipulation and reasoning, instead of only routine number processing. This book presents recent examples of such applications, focusing on mechanical and manufacturing design. The term 'design' is interpreted here in its wider sense to include creative activities such as planning. The book covers a wide spectrum of design operations ranging from component and product design through to process, tooling and systems design. Its aim is to expose researchers, engineers and engineering designers to several developments in the emerging field of intelligent CAD and to alert them of the possibilites and opportunities in this exciting field. |
| artificial intelligence in engineering design: Knowledge Engineering John Debenham, 2012-12-06 A monograph for specialists interested in building maintainable knowledge based systems, giving a unified methodology for the design of such systems |
| artificial intelligence in engineering design: Mind Design II John Haugeland, 1997-03-06 Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work—as in artificial intelligence—than to observe or analyze what already exists. Mind design is psychology by reverse engineering. When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research. Contributors Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder |
| artificial intelligence in engineering design: The Promise of Artificial Intelligence Brian Cantwell Smith, 2019-10-08 An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world. |
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Applications of Artificial Intelligence in Engineering …
Artificial intelligence (AI) is rapidly transforming the landscape of engineering design, introducing novel …
Artificial Intelligence for Engineering Design, Analysi…
The journal is interested in the use of AI in planning, design, analysis, simulation, spatial reasoning and graphics, …
ARTIFICIAL INTELLIGENCE SUPPORTED MECHANICAL …
An Investigation on the Integration of Artificial Intelligence with Mechanical Engineering Design: This thesis …
AIEDAM: Artificial Intelligence for Engineerin…
Artificial Intelligence for Engineering Design, Analysis and Manufacturing Cambridge University Press …
Artificial Intelligence Integration in Structural De…
Feb 20, 2024 · Incorporating AI algorithms in the design phase, particularly in analyzing individual …
Generative AI-based Prompt Evolution Engineering Design …
Jun 14, 2024 · mization, engineering design optimization I. INTRODUCTION Generative artificial intelligence (GenAI) and large language models (LLMs) are currently contributing to major …
APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN …
1Institute of Petroleum Engineering, Clausthal University of Technology, Germany e-mail: oob@tu-clausthal.de 2Mewbourne School of Petroleum and Geological Engineering, …
AI Revolution in Civil Engineering: A Comprehensive Analysis …
the basic ideas of the "Artificial Intelligence in Civil Engineering (AICE)" journal, which aspires to be a prominent open-access platform for disseminating cutting-edge research findings. AICE …
HARDWARE DESIGN FOR MACHINE LEARNING - airccse.org
Artificial intelligence (AI), application specific integrated circuit (ASIC), artificial neural network (ANN), central processing unit (CPU), field programmable gate array (FPGA), graphics …
Artificial intelligence in optical lens design - Springer
6 Singapore Centre for Environmental Life Science Engineering (SCELSE), Singapore, Singapore 7 Lee Kong Chien School of Medicine, Nanyang Technological University, Singapore, ...
ACADEMIC CURRICULA - SRMIST
ARTIFICIAL INTELLIGENCE (Choice Based Flexible Credit System) ... To collaborate with other disciplines that includes but not limited to Engineering and Technology, Science, Humanities, …
AIEDAM: Artificial Intelligence for Engineering Design, …
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A Survey of Generative AI for de novo Drug Design: New …
Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various generative models already in widespread use. Generative models for de …
DIGITAL NOTES ON ARTIFICIAL INTELLIGENCE - MRCET
Artificial Intelligence Page 5 UNIT I: Introduction: Artificial Intelligence is concerned with the design of intelligence in an artificial device. The term was coined by John McCarthy in 1956. …
Application of Artificial Intelligence in the Exploration and ...
Application of Artificial Intelligence in the Exploration and Optimization of Biomedical Nanomaterials Xiaoyang Zhu1, Yan Li1, Ning Gu2 1 State Key Laboratory of Digital Medical …
Implementation of Artificial Intelligence in Interior Design
Jun 30, 2024 · Implementation of Artificial Intelligence in Interior Design: Systematic Literature Review Omar Adnan AlShkipi1,*, Bilal Zahran2 ... 2Department of Engineering and Artificial …
ARTIFICIAL INTELLIGENCE [R20A1205] LECTURE NOTES
Artificial Intelligence is concerned with the design of intelligence in an artificial device. The term was coined by John McCarthy in 1956. ... Engineering: check design, offer suggestions to …
Application of Artificial Intelligence in Mechanical …
5. Application of Artificial Intelligence in Mechanical Engineering At present, artificial intelligence technology is often used in the diagnosis of mechanical engineering failure [8-10]. In general, …
AI And Its Application in CAD - IJAEM
engineering design works. In SOLIWORKS xDesign, operators can deploy different solutions to their design challenges instantaneously through cloud collaboration that are generated by AI …
AI in Civil Engineering - Springer
agement; (2) Project life-cycle phases: engineering design and simulations; building information modelling (BIM) for planning, construction, and operation management; com- ... data analytics …
Artificial Intelligence in Architecture and its Impact on …
Creativity, Design Creativity, Artificial intelligence, Digital design, Architecture. Sammanfattning Syfte – Detta arbete syftar till att utforska hur kreativitet påverkas av implementering av ...
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
The field of computer science, particularly in artificial intelligence (AI),[1-2] has seen substantial growth, with Engineering Applications of Artificial Intelligence[2-4] (EAAI) emerging as a …
AICTE Model Curriculum for UG Degree Course in Computer …
Computer Science and Engineering Artificial Intelligence & Data Science (AI&DS) ALL INDIA COUNCIL FOR TECHNICAL EDUCATION Nelson Mandela Marg, Vasant Kunj, New Delhi …
Generative Design: An Explorative Study - CAD Journal
Computer-Aided Design & Applications, 18(1), 2021, 144-155 ... Governi1 1Department of Industrial Engineering of Florence, francesco.buonamici@unifi.it 2Department of Industrial …
Artificial Intelligence/Machine Learning Technologies for …
ANL/N. SE-22/13 Artificial Intelligence/Machine Learning Technologies for Advanced Reactors: Workshop Summary Report A compilation of findings from the GAIN-EPRI-NEI workshop held …
The Future Role of Artificial Intelligence (AI) Design's
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Software Engineering for AI-Based Systems: A Survey
The quality attributes for which we need to design and analyze are different [153]. The evolution of AI-based systems requires focusing on large and changing datasets, robust and evolutionary …
Artificial intelligence for materials discovery
Artificial intelligence and emergence of intelligent machines Artificial intelligence (AI) is a subfield of computer science, ... DL essentially solves the feature engineering problem for ML. By …
Teaching Artificial Intelligence to Chemical Engineers:
AI in Chemical Engineering •But AI in ChE in not new! •Has a 35-year-old literature: >3000 papers •Four phases of AI in ChE •Expert systems (1983 - 2000) •Neural networks (1990 - 2005)
Model Curriculum for UG Degree Course in Computer Science …
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Research on the Application of Artificial Intelligence in …
Research on the Application of Artificial Intelligence in Interior Design Liu Yanhua Philippine Christian University Center for International Education, Manila, 1004, ... International Journal …
LIST OF SUGGESTED BOOKS OF INDIAN AUTHORS FOR …
1. M.C.Trivedi, Artificial Intelligence, Khanna Publishing House 2. Rich, Knight, Shivshankar, Artificial Intelligence, TMH 3. Deepak Khemani, A First Course in Artificial Intelligence, …
Artificial Intelligence and Machine Learning: Current …
Artificial intelligence (AI) is a general term for machines performing tasks that typically require human intelligence. ... Construction, design, and engineering industry ...
Artificial Intelligence in Civil Engineering - Wiley Online …
intelligence in civil engineering, Section 3 depicts reasoning classification, and learning of artificial intelligence in civil engineering, Section 4 introduces some other theories and …
Embracing Computational Thinking as an Impetus for …
Artificial Intelligence in Integrated STEM Disciplines through Engineering and Technology Education Paul Asunda, Miad Faezipour, Joshua Tolemy, Milo Timothy Do Engel Abstract The …
Artificial Intelligence (AI) Art Generators in the Architectural …
Artificial Intelligence (AI) Art Generators in Architectural Design Curricula Abstract When a student submits a conceptual sketch in response to an architectural design problem, the instructor may …
B.Tech ROBOTICS AND ARTIFICIAL INTELLIGENCE (R&AI) 2023
The Robotics and Artificial Intelligence (R&AI) undergraduate programme amalgamates multiple engineering disciplines such as Mechanical Engineering, Electrical Engineering, and …
M.Tech. Programme (Robotics and Artificial Intelligence)
Engineering Design Optimization ME6L007 3-0-0 3 3 Sensing and Actuation ME6L008 3-0-0 3 3 ... Nils J. Nilsson, Artificial Intelligence - A New Synthesis, Morgan Kaufmann Publishers, 2000 …
Integrating Artificial Intelligence into Electrical Engineering ...
Integrating Artificial Intelligence into Electrical Engineering Education: A Paradigm Shift in Teaching and Learning Abstract Electrical Engineering (EE) education rapidly changes with …
Applications of AI in classical software engineering
Artificial intelligence has become a buzzword in popular and academic media. The prophecies and futuristic leg-ends connected to artificial intelligence are multiple and well known: …
ETHICALLY ALIGNED DESIGN - IEEE Standards Association
implicit values, including our imaginary1 around so-called “Artificial Intelligence” and the institutions, symbols, and representations it generates. Ultimately, our goal should be …
Approach to Sound Design - JSTOR
Faculty of Music and Department of Artificial Intelligence 12 Nicolson Square Edinburgh, Scotland, UK EH8 9DF miranda@music.ed.ac.uk An Artificial Intelligence Approach to Sound …
Special Issue on Engineering Applications of Artificial …
The study of "Applications of Artificial Intelligence in Engineering Fields" encompasses a multifaceted exploration of how advanced computational systems, capable of performing tasks …
ETHICALLY ALIGNED DESIGN - IEEE Standards Association
Ethically Aligned Design Version II Request for Input The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems Public comments are invited on the second version of …
Artificial intelligence in design '91 - johngero.com
researchers. Artificial intelligence in design has been a burgeoning area for a decade now. The papers in this volume are from the First International Conference on Artificial Intelligence in …
Lecture Notes Artificial Intelligence [6CS4-05] Unit 1 - JECRC …
Engineering problems and design system components or processes that meet the specified needs with ... Artificial intelligence is a science and technology based on disciplines such as …
ARTIFICIAL INTELLIGENCE [R20A0513] LECTURE NOTES
Artificial Intelligence is concerned with the design of intelligence in an artificial device. The term was coined by John McCarthy in 1956. Intelligence is the ability to acquire, understand and …
Using artificial intelligence to support the engineering of …
Using artificial intelligence to support the engineering of piping and instrumentation diagrams: modeling & prototyping J. Oeing1, W. Welscher2, K. Brandt 1, N. Kockmann 1. TU Dortmund, …
The Benefits of a Multidisciplinary Lens for Artificial …
1 While we may use the term artificial intelligence in this paper to honor the historical introduction of the term, we prefer and recommend the term artificial intelligence systems (AIS), as defined …
The application of artificial intelligence in aerospace …
This paper will try to fill this gap by proceeding a comprehensive analysis of the AI situation in aerospace engineering. It will explore the application of AI in various aspects of aerospace ...
Artificial Intelligence in Civil Engineering - ijsdr.org
This study uses a multi-angle approach that aims at understanding how artificial intelligence fits into civil engineering. The design of the research is such that it can systematically analyze AI …
The Science of Design: Creating the Artificial - JSTOR
In view of the key role of design in professional activity, it is ironic that in this century the natural sciences have almost driven the sciences of the artificial from professional school curricula. …
Economic Assessment of the Engineering + Design Services …
• Artificial Intelligence (AI) Integration: - Adopting AI can significantly improve efficiency and productivity. However, smaller firms may face ... Engineering & Design Services Revenue …
DELVE IN THE NEW ERA: ARTIFICIAL INTELLIGENCE IN …
Abstract: Artificial Intelligence (AI) is that branch of computer science that develops machines and software with humanlike intelligence. Artificial Intelligence proves to be the most promising …
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B.Tech. Artificial Intelligence & Data Science (Medical Engineering) ... Design solutions for complex engineering problems and design system components or processes that meet the …
