Engineering Artificially Intelligent Systems: A Systems Engineering Approach to Realizing Synergistic Capabilities, Lawless William F., Llinas James, Sofge Donald A.
Автор: Peng Wang, Jian Chang, Lianbin Zhang Название: Artificially Intelligent Nanomaterials: For Environmental Engineering ISBN: 3527344942 ISBN-13(EAN): 9783527344949 Издательство: Wiley Рейтинг: Цена: 134060.00 T Наличие на складе: Поставка под заказ. Описание: Presents novel, nanotechnology-based solutions for urgent environmental engineering problems Clear and concise from beginning to end, this book focuses on the design and application of artificially intelligent nanomaterials, which help in solving many tangible environmental problems?especially water and air pollution. It lays out the design concepts, major chemical principles, and materials considerations of artificially intelligent nanomaterials for environmental engineering, and provides proof-of-concept examples such as improved filtration membranes, nanofibrous air filters, and molecularly imprinted nanomaterials. Artificially Intelligent Nanomaterials: For Environmental Engineering starts by describing the background of environmental nanotechnology, the rise of Artificial Intelligence (AI), and the current status of AI in environmental engineering. It then looks at: intelligently functional materials and responsive mechanisms; designing filtration membranes with responsive gates; switchable wettability materials for controllable oil/water separation; and self-healing materials for environmental applications. The book continues with chapters that examine: emerging nanofibrous air filters for PM2.5 removal; self-propelled nanomotors for environmental applications; molecular imprinting in wastewater treatment; and emerging synergistically multifunctional and all-in-one nanomaterials and nanodevices in advanced environmental applications. -Presents the state-of-the-art in environmental technology and puts forward bold ideas for its advancement -Addresses global challenges, including all important water and air quality which are critical for human health and a sustainable future -Concentrates on nanotechnology-enabled solutions for pollutant removal from water and air Artificially Intelligent Nanomaterials: For Environmental Engineering is an ideal book for undergraduates, graduates, scientists, and professionals in the fields of environmental science, material science, chemistry, and chemistry engineering.
Автор: Corning, Peter A. (inst For The Study Of Complex Systems, Usa) Название: Synergistic selection: how cooperation has shaped evolution and the rise of humankind ISBN: 9813234601 ISBN-13(EAN): 9789813234604 Издательство: World Scientific Publishing Рейтинг: Цена: 27450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
co-author of (among others) Evolution in Four Dimensions
"Nothing about the evolution of biological complexity makes sense except in the light of synergy." Peter Corning's new book is being hailed as a major contribution to what is perhaps the greatest shift in our understanding of evolution since The Origin of Species. It's a tour de force that takes us on a synergy-guided tour of the history of life. As Corning puts it, "life on Earth has been a synergistic phenomenon from the get go." Corning also shows how synergy has been a key to human evolution, including the rise of complex modern societies. "Cooperation may have been the vehicle, but synergy was the driver." As we now face a tipping point and another major transition in evolution, Corning offers us a synergy-based road-map to the future. "One of the great take-home lessons from the epic of evolution is that cooperation produces synergy, and synergy is the way forward. The arc of evolution bends toward synergy."
co-author of (among others) Evolution in Four Dimensions
"Nothing about the evolution of biological complexity makes sense except in the light of synergy." Peter Corning's new book is being hailed as a major contribution to what is perhaps the greatest shift in our understanding of evolution since The Origin of Species. It's a tour de force that takes us on a synergy-guided tour of the history of life. As Corning puts it, "life on Earth has been a synergistic phenomenon from the get go." Corning also shows how synergy has been a key to human evolution, including the rise of complex modern societies. "Cooperation may have been the vehicle, but synergy was the driver." As we now face a tipping point and another major transition in evolution, Corning offers us a synergy-based road-map to the future. "One of the great take-home lessons from the epic of evolution is that cooperation produces synergy, and synergy is the way forward. The arc of evolution bends toward synergy."
Автор: Kenji Suzuki; Yisong Chen Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging ISBN: 3319688421 ISBN-13(EAN): 9783319688428 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Travis Sr Ron Название: Synergistic Management Control Systems ISBN: 145200921X ISBN-13(EAN): 9781452009216 Издательство: Неизвестно Цена: 44290.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 76690.00 T Наличие на складе: Нет в наличии. Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 47130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 264270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
Автор: Soteris Kalogirou Название: Artificial intelligence in energy and renewable energy systems ISBN: 1600212611 ISBN-13(EAN): 9781600212611 Издательство: Nova Science Рейтинг: Цена: 163580.00 T Наличие на складе: Невозможна поставка. Описание: Presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. This title covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration.
Автор: Raval Siraj Название: Artificially Intelligent: Living Smart AF in an AI World ISBN: 0988585588 ISBN-13(EAN): 9780988585584 Издательство: Неизвестно Цена: 15590.00 T Наличие на складе: Невозможна поставка. Описание: Siraj Raval has taken on the task to explain Artificial Intelligence in ways anyone can understand and translate into their own lives. Siraj started his mission with an educational, yet entertaining, YouTube channel. By making the subject fun, easy and relatable, his quickly became one of the largest AI channels with over 700,000 subscribers and growing.
Now, Siraj is reaching beyond his online following to explain to everyone exactly what AI is, how it works, and how you can make it work for you. Without having to know anything about coding, computers or advanced mathematics or be technology savvy, Siraj will tell you what makes something Artificial Intelligence, including:
1. The four basic components that make up AI
2. How to protect yourself from the dangers of predatory AI
3. What you need to demand of our government and corporations to make sure AI enhances wellbeing
4. How AI will radically reshape the economy and how you can benefit
Автор: Patterson Allen Название: Artificially Intelligent Simon ISBN: 1640963014 ISBN-13(EAN): 9781640963016 Издательство: Неизвестно Рейтинг: Цена: 27540.00 T Наличие на складе: Невозможна поставка.
Автор: Vladislav G Petin, Jin Kyu Kim Название: Synergistic Interaction & Cell Responses to Environmental Factors ISBN: 1634834992 ISBN-13(EAN): 9781634834995 Издательство: Nova Science Цена: 89750.00 T Наличие на складе: Невозможна поставка. Описание: For a quantitative description of variety cell responses to ionising radiation, a mathematical model is suggested. In contrast to the conventional point of view that the relative biological effectiveness (RBE) of densely ionising radiation is determined only by physical characteristics of radiation, this book presents extensive experimental data demonstrating the importance of cell recovery ability in the RBE manifestation. The most impressive data obtained was mostly for diploid mutant cells at the log-stage of growth, in which the RBE was close to unity. It was also shown that the recovery process itself was not damaged after exposure to high-LET radiation, as well as the enhanced RBE values due to the increased yield of irreversible radiation damage from which cells were incapable of recovering. A novel direction in the study of radioprotecting and radiosensitising action of chemical compounds is also discussed and confirmed in the book. A new conception for the mechanism of synergy is suggested, in accordance with the synergy due to the formation of additional effective damages resulting from the interaction of sublesions. These sublesions are supposed to be non-effective when each agent is applied separately. This concept led to the development of original mathematical models of synergy, which is reviewed by the authors. The model predicts a number of general rules of interaction, the condition under which the highest synergy can be achieved, its value, and the dependence of synergy on the intensity of agents applied. Validation of the model was also verified for various physical and chemical factors, biological objects and end points. The theory appears to be appropriate and the conclusions valid.
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