This is the story of existence, and it begins with a painting. Join David Hinton, the premier modern translator of the Chinese classics, as he stands before a single landscape painting, discovering in it the wondrous story of existence—and as part of that story, the magical nature of consciousness. What he coaxes from the image is nothing less than a revelation: the dynamic interweaving of mind and Cosmos, and the glorious dance of Absence and Presence that is the secret of that Cosmos.
Come along with David Hinton on a series of walks through the wild beauty of Hunger Mountain, near his home in Vermont—excursions informed by the worldview he’s imbibed from his many years translating the classics of Chinese poetry and philosophy. His broad-ranging discussion offers insight on everything from the mountain landscape to the origins of consciousness and the Cosmos, from geology to Chinese landscape painting, from parenting to pictographic oracle-bone script, to a family chutney recipe. It’s a spiritual ecology that is profoundly ancient and at the same time resoundingly contemporary. Your view of the landscape—and of your place in it—may never be the same.
Provides all the information anyone needs to make the right choices in successfully managing a small flock of sheep, whether you're running a single pet or several hundred sheep for lamb or wool.
The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities. Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book. Key features: In-depth look at modern computing technologies Systems engineering description and means to successfully undertake an AI product or service development through deployment Existing methods for applying machine learning operations (MLOps) AI system architecture including a description of each of the AI pipeline building blocks Challenges and approaches to attend to responsible AI in practice Tools to develop a strategic roadmap and techniques to foster an innovative team environment Multiple use cases that stem from the authors’ MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs Exercises and Jupyter notebook examples
This practical guide is a tool designed for graziers to use in their day-to-day decision-making about livestock nutritional needs, feeding options, condition and health. Pasture supplements are expensive and should not be wasted, yet under-nutrition has an even greater economic effect resulting from low conception and progeny survival rates, poor growth rates, failure to meet market targets and tender fleeces in sheep. Supplementary Feeding of Sheep and Beef Cattle shows how to get the nutritional balance right and avoid costly repercussions from incorrect or inadequate feeding. The key topics covered will be particularly useful in drought situations, but also in seasonal pasture shortages, when the nutrient value of pastures is low. Practical tables and worksheets are provided as key tools, enabling livestock producers to make timely and cost-effective decisions about supplementary feeding.
Fully revised and updated, this third edition includes three new chapters on neural networks and deep learning including generative AI, causality, and the social, ethical and regulatory impacts of artificial intelligence. All parts have been updated with the methods that have been proven to work. The book's novel agent design space provides a coherent framework for learning, reasoning and decision making. Numerous realistic applications and examples facilitate student understanding. Every concept or algorithm is presented in pseudocode and open source AIPython code, enabling students to experiment with and build on the implementations. Five larger case studies are developed throughout the book and connect the design approaches to the applications. Each chapter now has a social impact section, enabling students to understand the impact of the various techniques as they learn them. An invaluable teaching package for undergraduate and graduate AI courses, this comprehensive textbook is accompanied by lecture slides, solutions, and code.
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. - Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory - Represents the most up-to-date developments in this rapidly growing application area of neural networks - Takes a new and novel approach to system identification and synthesis
Evolutionary cmputation is one of the fastest growing areas of computer science, partly because of its broad applicability to engineering problems. The methods can be applied to problems as diverse as supply-chain optimization, routing and planning, task assignment, pharmaceutical design, interactive gaming, and many others within the signal processing domain.
Intelligent Image and Video Compression: Communicating Pictures, Second Edition explains the requirements, analysis, design and application of a modern video coding system. It draws on the authors' extensive academic and professional experience in this field to deliver a text that is algorithmically rigorous yet accessible, relevant to modern standards and practical. It builds on a thorough grounding in mathematical foundations and visual perception to demonstrate how modern image and video compression methods can be designed to meet the rate-quality performance levels demanded by today's applications and users, in the context of prevailing network constraints. "David Bull and Fan Zhang have written a timely and accessible book on the topic of image and video compression. Compression of visual signals is one of the great technological achievements of modern times, and has made possible the great successes of streaming and social media and digital cinema. Their book, Intelligent Image and Video Compression covers all the salient topics ranging over visual perception, information theory, bandpass transform theory, motion estimation and prediction, lossy and lossless compression, and of course the compression standards from MPEG (ranging from H.261 through the most modern H.266, or VVC) and the open standards VP9 and AV-1. The book is replete with clear explanations and figures, including color where appropriate, making it quite accessible and valuable to the advanced student as well as the expert practitioner. The book offers an excellent glossary and as a bonus, a set of tutorial problems. Highly recommended! --Al Bovik - An approach that combines algorithmic rigor with practical implementation using numerous worked examples - Explains how video compression methods exploit statistical redundancies, natural correlations, and knowledge of human perception to improve performance - Uses contemporary video coding standards (AVC, HEVC and VVC) as a vehicle for explaining block-based compression - Provides broad coverage of important topics such as visual quality assessment and video streaming
This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.
Marcel Duchamp and Max Ernst are two of the greatest names associated with Dada and Surrealism, the iconoclastic art movements of the early part of the twentieth century. This detailed study brings their work into close proximity for the first time, examining the structural interaction of "ready-made" belief systems in their productions (Catholicism, masculinism, hermeticism). These artists are revealed as precursors of our postmodern obsessions with male and female identity and cultural fragmentation.
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.
Mammals of Africa (MoA) is a series of six volumes which describes, in detail, every currently recognized species of African land mammal. This is the first time that such extensive coverage has ever been attempted, and the volumes incorporate the very latest information and detailed discussion of the morphology, distribution, biology and evolution (including reference to fossil and molecular data) of Africa's mammals. With 1,160 species and 16 orders, Africa has the greatest diversity and abundance of mammals in the world. The reasons for this and the mechanisms behind their evolution are given special attention in the series. Each volume follows the same format, with detailed profiles of every species and higher taxa. The series includes some 660 colour illustrations by Jonathan Kingdon and his many drawings highlight details of morphology and behaviour of the species concerned. Diagrams, schematic details and line drawings of skulls and jaws are by Jonathan Kingdon and Meredith Happold. Every species also includes a detailed distribution map. Extensive references alert readers to more detailed information. Volume I: Introductory Chapters and Afrotheria (352 pages) Volume II: Primates (560 pages) Volume III: Rodents, Hares and Rabbits (784 pages) Volume IV: Hedgehogs, Shrews and Bats (800 pages) Volume V: Carnivores, Pangolins, Equids and Rhinoceroses (560 pages) Volume VI: Pigs, Hippopotamuses, Chevrotain, Giraffes, Deer and Bovids (704 pages)
Having masterfully translated a wide range of ancient Chinese poets and philosophers, David Hinton is uniquely qualified to offer the definitive contemporary English version of Lao Tzu's Tao Te Ching. Like all of his translations, Hinton's translation of the Tao Te Ching is mind–opening, presenting startling new dimensions in this widely–influential text. He shows how Lao Tzu's spirituality is structured around the generative life–force, for example, and that this system of thought weaves the human into natural process at the deepest levels of being, thereby revealing the Tao Te Ching as an originary text in deep feminist and ecological thought. Lao Tzu's Tao Te Ching is not only the single most important text ever composed in China, it is probably the most influential spiritual text in human history. In the past, virtually all translations of this text have been produced either by sinologists having little poetic facility in English, or writers having no ability to read the original Chinese. Hinton's fluency in ancient Chinese and his acclaimed poetic ability provide him the essential qualifications. Together, they allow a breathtaking new translation that reveals how remarkably current and even innovative this text is after 2500 years.
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.
This book provides an in-depth look at the impact of artificial intelligence (AI) on the future of work. The rise of AI and automation is transforming the world of work, and the book explores the implications of this transformation on jobs and skills. It begins by introducing readers to the basics of AI technology and its various applications in the workplace. It then moves on to examine the impact of AI on jobs and skills, including the changing nature of work and the potential for job loss due to automation. It also delves into the ethical implications of AI in the workplace, including the moral and ethical questions that arise when AI is used to make decisions that affect people's lives. Besides exploring the impact of AI on the workforce, the book provides practical advice for preparing for the future of work in the age of AI. This includes the importance of reskilling and upskilling, as well as strategies for adapting to the changing world of work in the age of AI. It concludes with a future outlook, exploring the likely direction of the workforce in the years to come and the importance of preparing for the future with a proactive approach to AI and the workforce. This book provides a comprehensive and accessible look at the impact of AI on the future of work. It is ideal for anyone interested in understanding the implications of AI on the workforce and preparing for the future of work in the age of AI.
The first collection of original poetry by the renowned nature writer and highly lauded translator of the Chinese classics. Traveling today I found a river somewhere inside me, wondered how far it wanders there and how much sky it mirrors. All day long, wind and desert light, I followed that river’s distances . . . Weaving mind and landscape together in meditations on sky and wind, ridgeline and horizon, existence and self, Desert marks David Hinton’s first collection of original poetry in over a decade. Hinton’s poetic art has long shined brilliantly through his widely acclaimed Chinese translations—and here speaks for itself in his contemporary voice as he turns his attention to the transcendent landscape of the American West. Updating the philosophical insights of ancient China that Hinton has explored so deeply, these poems bring the wonder and ancient mystery of the desert landscape to light. Hinton demonstrated in The Wilds of Poetry how those ancient Chinese insights shaped the innovative American poetry of our time, and here he extends that tradition in poems that are spare and spacious, as vast and open as the desert itself.
Molecular biology is one of the most rapidly growing developing and at the same time most exciting disciplines. The key to molecular biology lies in the understanding of nucleic acids - their structure, function, and interaction with proteins. Nucleic Acids in Molecular Biology keeps scientists informed of the explosively growing information and complies with the great interest in this field by offering a continued high standard of review.
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