Next Generation Ai Language Models In Research

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Next Generation AI Language Models in Research

Author : Gwanggil Jeon
Publisher :
ISBN 13 : 9781032667935
Total Pages : 0 pages
Book Rating : 4.6/5 (679 download)

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Book Synopsis Next Generation AI Language Models in Research by : Gwanggil Jeon

Download or read book Next Generation AI Language Models in Research written by Gwanggil Jeon and published by . This book was released on 2024-11-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this comprehensive and cutting-edge volume, Jeon and Qureshi bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionise their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem solving abilities, and evidence-based decision making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book's discussions on both the technical and ethical aspects of this rapidly growing field.

The Future of Language Models

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 1 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Future of Language Models by : StoryBuddiesPlay

Download or read book The Future of Language Models written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-21 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Power of Language: A Look at Gemini AI and the Future of AI Language Models In the ever-evolving world of technology, a new revolution is brewing: the rise of AI language models. These intelligent machines are transforming the way we communicate, access information, and even create content. At the forefront of this revolution stands Gemini AI, a next-generation model developed by Google that pushes the boundaries of what's possible with language processing. This comprehensive guide dives deep into the world of Gemini AI, exploring its inner workings, uncovering its diverse applications, and examining the exciting future it holds. Whether you're a tech enthusiast, a business leader, or simply curious about the impact of AI, this book provides valuable insights you won't want to miss. Demystifying the Magic: How Does Gemini AI Work? Ever wondered how AI language models like Gemini AI function? This chapter peels back the curtain, providing a simplified explanation of the technology behind these marvels. Learn about the power of machine learning, the role of neural networks, and the importance of data training in shaping Gemini AI's capabilities. Beyond Text Generation: A World of Possibilities While generating realistic text formats is impressive, Gemini AI's potential extends far beyond. Explore the diverse applications of this powerful tool across various industries. Imagine personalized learning experiences in education, intelligent automation for businesses, or groundbreaking advancements in scientific research – all fueled by the capabilities of Gemini AI. The Future of Language: A Collaborative Partnership The rise of AI language models raises questions about their impact on human work. This chapter explores the concept of human-AI collaboration. Discover how Gemini AI can augment human capabilities, freeing us to focus on creative problem-solving and strategic thinking. The future lies in a partnership between humans and AI, where both parties work together to achieve remarkable results. Responsible Development: An Ethical Approach to AI With great power comes great responsibility. This chapter addresses the ethical considerations surrounding the development and use of AI language models. Explore challenges like bias, the importance of transparency, and the need for responsible data practices. Learn how to ensure that AI is developed and deployed for good, benefiting humanity as a whole. Unveiling the Future: A World Transformed by Language The journey of AI language models is just beginning. This chapter delves into the exciting possibilities that lie ahead. Imagine seamless real-time translation breaking down language barriers, or AI models co-creating art and music alongside humans. The future holds immense potential, and Gemini AI stands as a testament to the transformative power of language processing. Join us on this exploration of the future of language. Get your copy today and unlock the potential of Gemini AI!

Large Language Models - LLMs

Author : Jagdish Krishanlal Arora
Publisher : Jagdish Krishanlal Arora
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (249 download)

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Book Synopsis Large Language Models - LLMs by : Jagdish Krishanlal Arora

Download or read book Large Language Models - LLMs written by Jagdish Krishanlal Arora and published by Jagdish Krishanlal Arora. This book was released on 2024-03-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI), enabling computers to understand and generate human-like text on an unprecedented scale. In this comprehensive summary, we explore the intricacies of LLMs, their evolution, applications, benefits, challenges, and future prospects. Evolution of LLMs: The journey of LLMs began with early language models like Word2Vec and GloVe, which laid the foundation for understanding word embeddings. The breakthrough came with transformers, particularly the introduction of GPT (Generative Pre-trained Transformer) series by OpenAI, including GPT-2, GPT-3, and beyond. These models leverage self-attention mechanisms and massive amounts of data for training, leading to remarkable improvements in language understanding and generation capabilities. Applications of LLMs: LLMs find applications across diverse domains, including natural language processing (NLP), machine translation, chatbots, question answering systems, text summarization, sentiment analysis, and more. They power virtual assistants like Siri and Alexa, facilitate language translation services, aid in content creation, and enhance user experiences in various digital platforms. Benefits of LLMs: The key benefits of LLMs include their versatility, scalability, and adaptability. A single model can perform multiple tasks, reducing the need for specialized models for each application. Moreover, LLMs can be fine-tuned with minimal data, making them accessible to a wide range of users. Their performance continues to improve with more data and parameters, driving innovation and advancement in AI research. Challenges and Limitations: Despite their impressive capabilities, LLMs face challenges such as bias, explainability, and accessibility. Biases in training data can lead to biased outputs, while the complex inner workings of LLMs make it challenging to understand their decision-making processes. Moreover, access to large-scale computing resources and expertise is limited, hindering widespread adoption and development. Future Prospects: The future of LLMs holds immense potential, with ongoing research focused on addressing challenges and expanding capabilities. Efforts are underway to mitigate bias, improve explainability, and enhance accessibility. Advancements in LLMs are expected to drive innovation in AI-driven applications, revolutionizing industries and reshaping human-computer interaction. In conclusion, Large Language Models represent a significant milestone in AI research, offering unprecedented capabilities in understanding and generating human-like text. While they present challenges and limitations, ongoing efforts to overcome these hurdles pave the way for a future where LLMs play a central role in shaping the AI landscape. As we continue to unravel the wonders of LLMs, the possibilities for innovation and discovery are limitless

Generative AI and Large Language Models

Author : Aditya Pratap Bhuyan
Publisher : Aditya Pratap Bhuyan
ISBN 13 :
Total Pages : 109 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI and Large Language Models by : Aditya Pratap Bhuyan

Download or read book Generative AI and Large Language Models written by Aditya Pratap Bhuyan and published by Aditya Pratap Bhuyan. This book was released on 2024-07-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is reshaping our world, and at the forefront of this revolution are Generative AI and Large Language Models (LLMs). This book, "Generative AI and Large Language Models: Revolutionizing the Future," offers an in-depth exploration of these groundbreaking technologies, delving into their foundations, development, and profound implications for various industries and society as a whole. Starting with a historical overview of AI, the book traces the evolution of machine learning and deep learning, setting the stage for understanding the rise of generative AI. Readers will discover the inner workings of LLMs, from their advanced neural network architectures to the massive datasets and computational power required for their training. Key models, such as the Generative Pre-trained Transformer (GPT) series, are examined in detail, showcasing their remarkable capabilities in natural language processing and beyond. The book also addresses the ethical and social challenges posed by these powerful technologies. Issues such as bias, fairness, and privacy are discussed, alongside the need for transparent and accountable AI systems. Through real-world applications and case studies, readers will see how generative AI is transforming fields like healthcare, finance, content creation, and more. Looking ahead, the book explores future trends and innovations, highlighting potential advancements and the ongoing research aimed at enhancing AI's efficiency and multimodal capabilities. It envisions a future where AI and humans collaborate more closely, driving progress and innovation across all domains. "Generative AI and Large Language Models: Revolutionizing the Future" is an essential read for anyone interested in the cutting-edge of AI technology. Whether you are a researcher, practitioner, or simply curious about the future of AI, this book provides a comprehensive and accessible guide to the transformative power of generative AI and LLMs.

Next Generation CERTs

Author : A. Armando
Publisher : IOS Press
ISBN 13 : 161499997X
Total Pages : 122 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Next Generation CERTs by : A. Armando

Download or read book Next Generation CERTs written by A. Armando and published by IOS Press. This book was released on 2019-09-25 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging alongside the widespread adoption of networked information technologies, cybersecurity incidents represent a significant threat to our common well-being. The institutional construct of a Computer-Emergency Response Team (CERT) began to evolve thirty years ago as a response to security incidents in the nascent Internet. This book, Next Generation CERTs, presents papers arising from the NATO Advanced Research Workshop “New Generation CERT: from Response to Readiness - Strategy and Guidelines”, held in Chiavari, Italy, from 28 - 30 March 2017. The workshop enabled 38 leading experts from NATO members and affiliate states to discuss the limitations of current CERTs and identify the improvements that are likely to shape the CERTs of the future. After the workshop, participants were invited to submit the papers included here. The book is divided into 3 main sections: state of the art; next generation CERTs; and the experience of CERTs. A number of approaches are covered – technical, tactical, strategic – which could be applied to both civilian and military environments. Providing an insight into the likely future development of CERTs, the book will be of interest to all those involved in the field of cybersecurity.

Reshaping Learning with Next Generation Educational Technologies

Author : Braman, James
Publisher : IGI Global
ISBN 13 :
Total Pages : 263 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Reshaping Learning with Next Generation Educational Technologies by : Braman, James

Download or read book Reshaping Learning with Next Generation Educational Technologies written by Braman, James and published by IGI Global. This book was released on 2024-05-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages ofReshaping Learning with Next Generation Educational Technologies. This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies.

Transfer, Diffusion and Adoption of Next-Generation Digital Technologies

Author : Sujeet K. Sharma
Publisher : Springer Nature
ISBN 13 : 3031501888
Total Pages : 479 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Transfer, Diffusion and Adoption of Next-Generation Digital Technologies by : Sujeet K. Sharma

Download or read book Transfer, Diffusion and Adoption of Next-Generation Digital Technologies written by Sujeet K. Sharma and published by Springer Nature. This book was released on 2023-12-12 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Challenges in Large Language Model Development and AI Ethics

Author : Gupta, Brij
Publisher : IGI Global
ISBN 13 :
Total Pages : 521 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Challenges in Large Language Model Development and AI Ethics by : Gupta, Brij

Download or read book Challenges in Large Language Model Development and AI Ethics written by Gupta, Brij and published by IGI Global. This book was released on 2024-08-15 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists.

Generative AI and LLMs

Author : S. Balasubramaniam
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111425517
Total Pages : 366 pages
Book Rating : 4.1/5 (114 download)

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Book Synopsis Generative AI and LLMs by : S. Balasubramaniam

Download or read book Generative AI and LLMs written by S. Balasubramaniam and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-09-23 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.

Towards an International Political Economy of Artificial Intelligence

Author : Tugrul Keskin
Publisher : Springer Nature
ISBN 13 : 3030744205
Total Pages : 258 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Towards an International Political Economy of Artificial Intelligence by : Tugrul Keskin

Download or read book Towards an International Political Economy of Artificial Intelligence written by Tugrul Keskin and published by Springer Nature. This book was released on 2021-07-01 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume seeks to leverage academic interdisciplinarity to develop insight into how Artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions. AI may best be understood as a predictive technology. “Prediction is the process of filling in missing information. Prediction takes information you have, often called ‘data’, and uses it to generate information you don’t have” (Agrawal, Gans, and Goldfarb 2018, 13; also see Mayer-Schonberger and Ramge 2018). AI makes prediction cheap because the cost of information is now close to zero. Cheap prediction through AI technologies are radically altering how we govern ourselves, interact with each other, and sustain society. Contributors to this volume represent the academic disciplines of Sociology and Political Science working within a diverse set of intra-disciplinary fields that when combined, yield novel insights into the following questions guiding this volume: How might AI transform people? How might AI transform socio-political practices? How might AI transform socio-political institutions?

Deep Natural Language Processing and AI Applications for Industry 5.0

Author : Tanwar, Poonam
Publisher : IGI Global
ISBN 13 : 1799877302
Total Pages : 240 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Natural Language Processing and AI Applications for Industry 5.0 by : Tanwar, Poonam

Download or read book Deep Natural Language Processing and AI Applications for Industry 5.0 written by Tanwar, Poonam and published by IGI Global. This book was released on 2021-06-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Neuro-inspired Computing for Next-gen AI: Computing Model, Architectures and Learning Algorithms

Author : Angeliki Pantazi
Publisher : Frontiers Media SA
ISBN 13 : 2889768562
Total Pages : 160 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Neuro-inspired Computing for Next-gen AI: Computing Model, Architectures and Learning Algorithms by : Angeliki Pantazi

Download or read book Neuro-inspired Computing for Next-gen AI: Computing Model, Architectures and Learning Algorithms written by Angeliki Pantazi and published by Frontiers Media SA. This book was released on 2022-08-29 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Funding a Revolution

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309062780
Total Pages : 300 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Funding a Revolution by : National Research Council

Download or read book Funding a Revolution written by National Research Council and published by National Academies Press. This book was released on 1999-02-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Application of Artificial Intelligence to Assessment

Author : Hong Jiao
Publisher : IAP
ISBN 13 : 1641139536
Total Pages : 223 pages
Book Rating : 4.6/5 (411 download)

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Book Synopsis Application of Artificial Intelligence to Assessment by : Hong Jiao

Download or read book Application of Artificial Intelligence to Assessment written by Hong Jiao and published by IAP. This book was released on 2020-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.

Generation Next

Author : Gary Charness
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Generation Next by : Gary Charness

Download or read book Generation Next written by Gary Charness and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This note is part of Quality testing.

Research Directions in Computational Mechanics

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309046483
Total Pages : 145 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Research Directions in Computational Mechanics by : National Research Council

Download or read book Research Directions in Computational Mechanics written by National Research Council and published by National Academies Press. This book was released on 1991-02-01 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology that allows scientists to study and predict the performance of various productsâ€"important for research and development in the industrialized world. This book describes current trends and future research directions in computational mechanics in areas where gaps exist in current knowledge and where major advances are crucial to continued technological developments in the United States.