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Placing Edge Responses Into A Predictive Framework
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Book Synopsis Ecology and Conservation of the San Pedro River by : Juliet C. Stromberg
Download or read book Ecology and Conservation of the San Pedro River written by Juliet C. Stromberg and published by University of Arizona Press. This book was released on 2009 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: contributors - biologists, ecologists, geomorphologists, historians, hydrologists, lawyers, and political scientists - weave together threads from their diverse perspectives to reveal the processes that shape the past, present, and future of the San Pedro's riparian and aquatic ecosystems. They review the biological communities of the San Pedro and the stream hydrology and geomorphology that affects its riparian biota. They then look at conservation and management challenges along three sections of the San Pedro, from its headwaters in Mexico in its confluence with the Gila River, describing legal and policy issues and their interface with science; activities related to mitigation, conservation, and restoration; and a prognosis of the potential for sustaining the basin's riparian system." "Complemented by a foreword written by James Shuttleworth, these chapters demonstrate the complexity of the San Pedro's ecological and hydrological conditions, showing that there are no easy --
Book Synopsis The Predictive Edge by : Alejandro Lopez-Lira
Download or read book The Predictive Edge written by Alejandro Lopez-Lira and published by John Wiley & Sons. This book was released on 2024-07-02 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use ChatGPT to improve your analysis of stock markets and securities In The Predictive Edge: Outsmart the Market Using Generative AI and ChatGPT in Financial Forecasting, renowned AI and finance researcher Dr. Alejandro Lopez-Lira delivers an engaging and insightful new take on how to use large language models (LLMs) like ChatGPT to find new investment opportunities and make better trading decisions. In the book, you’ll learn how to interpret the outputs of LLMs to craft sounder trading strategies and incorporate market sentiment into your analyses of individual securities. In addition to a complete and accessible explanation of how ChatGPT and other LLMs work, you’ll find: Discussions of future trends in artificial intelligence and finance Strategies for implementing new and soon-to-come AI tools into your investing strategies and processes Techniques for analyzing market sentiment using ChatGPT and other AI tools A can’t-miss playbook for taking advantage of the full potential of the latest AI advancements, The Predictive Edge is a fully to-date and exciting exploration of the intersection of tech and finance. It will earn a place on the bookshelves of individual and professional investors everywhere.
Book Synopsis Frameworks of Choice by : Margaret Sleeboom-Faulkner
Download or read book Frameworks of Choice written by Margaret Sleeboom-Faulkner and published by Amsterdam University Press. This book was released on 2010 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frameworks of Choice verkent de culturele en politieke aspecten van voorspellende en genetische tests. Het boek analyseert de sociale, culturele, en economische gevolgen voor het individu na een voorspellende of genetische screening. Margaret Sleeboom-Fau.
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ecology of Hierarchical Landscapes by : Jiquan Chen
Download or read book Ecology of Hierarchical Landscapes written by Jiquan Chen and published by Nova Publishers. This book was released on 2006 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea for this book grew out of: (1) the realisation that development of the theory of landscape ecology has now reached the point where rigorous field work is required to validate models, test assumptions and ideas of scaling theory, and refine our understanding of landscape features and their delineation; (2) the relative scarcity of compilations that have examined the role of field research or interdisciplinary management applications in advancing the science of landscape ecology; and (3) the increasing amount of information coming out of the Chequamegon Integrated Field Project (CIFP) on relevant topics. This book synthesises the experiences and lessons learned from the CIFP project and other relevant landscape studies in an attempt to demonstrate the utility of field studies and emerging technology to the advancement of the science. This book is organised to synthesise and update knowledge on research topics mentioned previously, with an emphasis on ecological consequences (i.e., implications for ecological function) of the approach to and understanding of these topics across levels of the ecological hierarchy.
Download or read book Marine & Freshwater Research written by and published by . This book was released on 1995 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Planning and operation of integrated energy systems with deep integration of pervasive industrial internet-of-things by : Fengji Luo
Download or read book Planning and operation of integrated energy systems with deep integration of pervasive industrial internet-of-things written by Fengji Luo and published by Frontiers Media SA. This book was released on 2023-02-10 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Putting AI in the Critical Loop by : Prithviraj Dasgupta
Download or read book Putting AI in the Critical Loop written by Prithviraj Dasgupta and published by Elsevier. This book was released on 2024-02-20 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales, balance of control, and the nature of autonomy. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a "collective intelligence. Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams focuses on human-machine trust and "assured performance and operation in order to realize the potential of autonomy. This book aims to take on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge the knowledge gaps, but also to advance this science to develop better solutions. - Assesses the latest research advances, engineering challenges, and the theoretical gaps surrounding the question of autonomy - Reviews the challenges of autonomy (e.g., trust, ethics, legalities, etc.), including gaps in the knowledge of the science - Offers a path forward to solutions - Investigates the value of trust by humans of HMTs, as well as the bidirectionality of trust, understanding how machines learn to trust their human teammates
Book Synopsis Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems by : M. Shafik
Download or read book Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems written by M. Shafik and published by IOS Press. This book was released on 2024-03-05 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent and development of AI and other new technologies, traffic and transportation have changed enormously in recent years, and the need for more environmentally-friendly solutions is also driving innovation in these fields. This book presents the proceedings of ICITT 2023, the 7th International Conference on Intelligent Traffic and Transportation, held from 18-20 September 2023 in Madrid, Spain. This annual conference is becoming one of the leading international conferences for presenting novel and fundamental advances in the fields of intelligent traffic and transportation. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in intelligent traffic and transportation and related techniques. ICITT welcomes scholars and researchers from all over the world to share experiences and lessons with other enthusiasts, and develop opportunities for cooperation. The 27 papers included here represent an acceptance rate of 64% of submissions received, and were selected following a rigorous review process. Topics covered include autonomous technology; industrial automation; artificial intelligence; machine, deep and cognitive learning; distributed networking; transportation in future smart cities; hybrid vehicle technology; mobility; cyber-physical systems; design and cost engineering; enterprise information management; product design; intelligent automation; ICT-enabled collaborative global manufacturing; knowledge management; product-service systems; optimization; product lifecycle management; sustainable systems; machine vision; Industry 4.0; and navigation systems. Offering an overview of recent research and current practice, the book will be of interest to all those working in the field.
Book Synopsis Predictive Maintenance in Smart Factories by : Tania Cerquitelli
Download or read book Predictive Maintenance in Smart Factories written by Tania Cerquitelli and published by Springer Nature. This book was released on 2021-08-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.
Book Synopsis Architecting Data and Machine Learning Platforms by : Marco Tranquillin
Download or read book Architecting Data and Machine Learning Platforms written by Marco Tranquillin and published by "O'Reilly Media, Inc.". This book was released on 2023-10-12 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, and modernize familiar solutions like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. You'll learn how to: Design a modern and secure cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a governed, scalable, and resilient data platform Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Build an MLOps platform to move to a predictive and prescriptive analytics approach
Book Synopsis Forecasting, Warning and Responding to Transnational Risks by : Chiara de Franco
Download or read book Forecasting, Warning and Responding to Transnational Risks written by Chiara de Franco and published by Springer. This book was released on 2011-07-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assembling a high profile group of scholars and practitioners, this book investigates the interplay of forecasting; warnings about, and responses to, known and unknown transnational risks. It challenges conventional accounts of 'failures' of warning and preventive policy in both the academic literature and public debate.
Book Synopsis A Matter of Bottom-Up or Top-Down Processes: The Role of Attention in Multisensory Integration by : Jess Hartcher-O'Brien
Download or read book A Matter of Bottom-Up or Top-Down Processes: The Role of Attention in Multisensory Integration written by Jess Hartcher-O'Brien and published by Frontiers Media SA. This book was released on 2017-07-04 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of information from various sensory modalities influences behaviour. It can induce behavioural benefits such as faster reaction times and enhanced detection of noisy signals but may also produce illusions, all of which have been characterized by specific neuronal signatures. Yet, while these effects of multisensory integration are largely accepted, the role of attention in this process is still the object of intense debate. On the one hand, it has been suggested that attention may guide multisensory integration in a top-down fashion by selection of specific inputs to be integrated out of the plethora of information in our environment. On the other hand, there is evidence that integration could occur in a bottom-up manner, based on temporal and spatial correlations, and outside the focus of attention. An extreme example is the multisensory enhancement of neural responses in anesthetised animals. Attention itself is not a unitary construct, and may refer to a range of different selection mechanisms. Therefore, the interplay between attention and multisensory integration can take many forms which explain, in part, the diversity of findings and the disputes in the literature. The goal of this Research Topic is to help clarify the picture by trying to answer the following questions from various perspectives: Under which circumstances does multisensory integration take place without attention?, and, When does attention determine the fate of multisensory integration?
Author :United States. Congress. House. Committee on Science and Astronautics. Subcommittee on Science, Research, and Development Publisher : ISBN 13 : Total Pages :428 pages Book Rating :4.0/5 (18 download)
Book Synopsis 1971 National Science Foundation Authorization by : United States. Congress. House. Committee on Science and Astronautics. Subcommittee on Science, Research, and Development
Download or read book 1971 National Science Foundation Authorization written by United States. Congress. House. Committee on Science and Astronautics. Subcommittee on Science, Research, and Development and published by . This book was released on 1970 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essential Guide to LLMOps by : RYAN. DOAN
Download or read book Essential Guide to LLMOps written by RYAN. DOAN and published by Packt Publishing Ltd. This book was released on 2024-07-31 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the secrets to mastering LLMOps with innovative approaches to streamline AI workflows, improve model efficiency, and ensure robust scalability, revolutionizing your language model operations from start to finish Key Features Gain a comprehensive understanding of LLMOps, from data handling to model governance Leverage tools for efficient LLM lifecycle management, from development to maintenance Discover real-world examples of industry cutting-edge trends in generative AI operation Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications. This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications. By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI. What you will learn Understand the evolution and impact of LLMs in AI Differentiate between LLMOps and traditional MLOps Utilize LLMOps tools for data analysis, preparation, and fine-tuning Master strategies for model development, deployment, and improvement Implement techniques for model inference, serving, and scalability Integrate human-in-the-loop strategies for refining LLM outputs Grasp the forefront of emerging technologies and practices in LLMOps Who this book is for This book is for machine learning professionals, data scientists, ML engineers, and AI leaders interested in LLMOps. It is particularly valuable for those developing, deploying, and managing LLMs, as well as academics and students looking to deepen their understanding of the latest AI and machine learning trends. Professionals in tech companies and research institutions, as well as anyone with foundational knowledge of machine learning will find this resource invaluable for advancing their skills in LLMOps.
Book Synopsis Applications of Big Data in Large- and Small-Scale Systems by : Goundar, Sam
Download or read book Applications of Big Data in Large- and Small-Scale Systems written by Goundar, Sam and published by IGI Global. This book was released on 2021-01-15 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.
Book Synopsis Computer Vision -- ECCV 2014 by : David Fleet
Download or read book Computer Vision -- ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-08-14 with total page 878 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.
