Jessica Brown

Burn-in /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Burn-in A Novel of the Real Robotic Revolution by P. W. Singer, August Cole Publisher Houghton Mifflin Harcourt Published Date 2020 Page Count 432 Categories Fiction / General, Fiction / Mystery & Detective / Police Procedural, Fiction / Science Fiction / Action & Adventure, Fiction / Science Fiction / Hard Science Fiction, Fiction / Thrillers / Technological Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1328637239 An FBI agent hunts a new kind of terrorist through a Washington, DC, of the future in this groundbreaking book - at once a gripping technothriller and a fact-based tour of tomorrow America is on the brink of a revolution, one both technological and political. The science fiction of AI and robotics has finally come true, but millions are angry and fearful that the future has left them behind. After narrowly stopping a bombing at Washington's Union Station, FBI Special Agent Lara Keegan receives a new assignment: to field-test an advanced police robot. As a series of shocking catastrophes unfolds, the two find themselves investigating a conspiracy whose mastermind is using cutting-edge tech to rip the nation apart. To stop this new breed of terrorist, their only hope is to forge a new type of partnership. Burn-In is especially chilling because it is something more than a pulse-pounding read: every tech, trend, and scene is drawn from real world research on the ways that our politics, our economy, and even our family lives will soon be transformed. Blending a techno-thriller's excitement with nonfiction's insight, Singer and Cole illuminate the darkest corners of the world soon to come. More Information

Recommender Systems Handbook /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Recommender Systems Handbook by Francesco Ricci, Lior Rokach, Bracha Shapira Publisher Springer Published Date 2015-11-17 Page Count 1003 Categories Computers / System Administration / Storage & Retrieval, Computers / Artificial Intelligence / General, Computers / Information Technology Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 148997637X This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems. More Information

Learning in Graphical Models /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Learning in Graphical Models by M.I. Jordan Publisher Springer Science & Business Media Published Date 1998-03-31 Page Count 630 Categories Computers / Intelligence (AI) & Semantics, Science / Physics / General, Mathematics / Probability & Statistics / General, Computers / Software Development & Engineering / General Language EN Average Rating 5 (based on 1 ratings) Maturity Rating No Mature Content Detected ISBN 0792350170 In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points of view. There has been substantial progress in these different communities and surprising convergence has developed between the formalisms. The awareness of this convergence and the growing interest of researchers in understanding the essential unity of the subject underlies the current volume. Two research communities which have used graphical or network formalisms to particular advantage are the belief network community and the neural network community. Belief networks arose within computer science and statistics and were developed with an emphasis on prior knowledge and exact probabilistic calculations. Neural networks arose within electrical engineering, physics and neuroscience and have emphasised pattern recognition and systems modelling problems. This volume draws together researchers from these two communities and presents both kinds of networks as instances of a general unified graphical formalism. The book focuses on probabilistic methods for learning and inference in graphical models, algorithm analysis and design, theory and applications. Exact methods, sampling methods and variational methods are discussed in detail. Audience: A wide cross-section of computationally oriented researchers, including computer scientists, statisticians, electrical engineers, physicists and neuroscientists. More Information

Virtual, Augmented Reality and Serious Games for Healthcare 1 /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Virtual, Augmented Reality and Serious Games for Healthcare 1 by Minhua Ma, Lakhmi C. Jain, Paul Anderson Publisher Springer Science & Business Published Date 2014-04-25 Page Count 568 Categories Technology & Engineering / Engineering (General), Technology & Engineering / Biomedical, Computers / Artificial Intelligence / General, Technology & Engineering / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3642548164 There is a tremendous interest among researchers for the development of virtual, augmented reality and games technologies due to their widespread applications in medicine and healthcare. To date the major applications of these technologies include medical simulation, telemedicine, medical and healthcare training, pain control, visualisation aid for surgery, rehabilitation in cases such as stroke, phobia and trauma therapies. Many recent studies have identified the benefits of using Virtual Reality, Augmented Reality or serious games in a variety of medical applications. This research volume on Virtual, Augmented Reality and Serious Games for Healthcare 1 offers an insightful introduction to the theories, development and applications of virtual, augmented reality and digital games technologies in medical and clinical settings and healthcare in general. It is divided into six sections: section one presents a selection of applications in medical education and healthcare management; Section two relates to the nursing training, health literacy and healthy behaviour; Section three presents the applications of Virtual Reality in neuropsychology; Section four includes a number of applications in motor rehabilitation; Section five aimed at therapeutic games for various diseases; and the final section presents the applications of Virtual Reality in healing and restoration. This book is directed to the healthcare professionals, scientists, researchers, professors and the students who wish to explore the applications of virtual, augmented reality and serious games in healthcare further. More Information

Robotics, Vision and Control /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Robotics, Vision and Control Fundamental Algorithms in MATLAB® by Peter Corke, Witold Jachimczyk, Remo Pillat Publisher Springer Nature Published Date 2023-05-15 Page Count 819 Categories Technology & Engineering / Robotics, Computers / Artificial Intelligence / General, Technology & Engineering / Automation, Computers / Software Development & Engineering / Computer Graphics, Technology & Engineering / Electronics / General, Psychology / Cognitive Psychology & Cognition, Technology & Engineering / Manufacturing, Computers / Optical Data Processing, Technology & Engineering / Imaging Systems Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3031072626 This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code. This edition is based on MATLAB® and a number of MathWorks® toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision. These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student, the book makes the algorithms accessible, the toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on toolbox functions. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows. More Information

Metacognition in Learning and Instruction /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Metacognition in Learning and Instruction Theory, Research and Practice by Hope J. Hartman Publisher Springer Science & Business Media Published Date 2013-06-29 Page Count 290 Categories Psychology / General, Psychology / Cognitive Psychology & Cognition, Computers / Artificial Intelligence / General, Education / Educational Psychology, Education / Teaching / General Language EN Average Rating 5 (based on 1 ratings) Maturity Rating No Mature Content Detected ISBN 9401722439 Contributions by leading experts and others to understanding the crucial role of metacognition in relation to broad areas of education make this collection a uniquely stimulating book. It encompasses metacognition in both the neglected area of teaching and the more well-established area of learning. The twelve chapters contribute to our understanding of the construct of metacognition and to its role in both teaching and learning. It addresses domain-general and domain-specific aspects of metacognition, including applications to the particular subjects of reading, speaking, mathematics, and science. It is organized into four major sections which address metacognition in relation to students' learning, motivation, and culture; and to teachers' metacognition about instruction. This collection spans theory, research and practice related to metacognition in education at all school levels, from elementary through university. Dr. Robert J. Sternberg, IBM Professor of Psychology at Yale University, is the discussant. More Information

Bayesian Learning for Neural Networks /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Bayesian Learning for Neural Networks by Radford M. Neal Publisher Springer Science & Business Media Published Date 2012-12-06 Page Count 204 Categories Mathematics / Probability & Statistics / General, Computers / Artificial Intelligence / General, Computers / Computer Simulation, Mathematics / Probability & Statistics / Stochastic Processes Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1461207452 Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence. More Information

Guide to Biometrics /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Guide to Biometrics by Ruud M. Bolle, Jonathan H. Connell, Sharath Pankanti, Nalini K. Ratha, Andrew W. Senior Publisher Springer Science & Business Media Published Date 2013-06-29 Page Count 364 Categories Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Computers / Artificial Intelligence / General, Computers / Software Development & Engineering / Computer Graphics, Computers / Optical Data Processing, Computers / Software Development & Engineering / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1475740360 Starting with fingerprints more than a hundred years ago, there has been ongoing research in biometrics. Within the last forty years face and speaker recognition have emerged as research topics. However, as recently as a decade ago, biometrics itself did not exist as an independent field. Each of the biometric-related topics grew out of different disciplines. For example, the study of fingerprints came from forensics and pattern recognition, speaker recognition evolved from signal processing, the beginnings of face recognition were in computer vision, and privacy concerns arose from the public policy arena. One of the challenges of any new field is to state what the core ideas are that define the field in order to provide a research agenda for the field and identify key research problems. Biometrics has been grappling with this challenge since the late 1990s. With the matu ration of biometrics, the separate biometrics areas are coalescing into the new discipline of biometrics. The establishment of biometrics as a recognized field of inquiry allows the research community to identify problems that are common to biometrics in general. It is this identification of common problems that will define biometrics as a field and allow for broad advancement. More Information

Robotics, Vision and Control /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Robotics, Vision and Control Fundamental Algorithms in MATLAB by Peter Corke Publisher Springer Published Date 2011-09-05 Page Count 570 Categories Technology & Engineering / Robotics, Computers / Artificial Intelligence / General, Computers / Software Development & Engineering / Computer Graphics, Technology & Engineering / Electronics / General, Technology & Engineering / Machinery, Psychology / Cognitive Psychology & Cognition, Technology & Engineering / Manufacturing, Computers / Optical Data Processing, Technology & Engineering / Imaging Systems, Technology & Engineering / Power Resources / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 364220144X The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system. Additional material is provided at http://www.petercorke.com/RVC More Information

Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity by Hamid Jahankhani, Stefan Kendzierskyj, Nishan Chelvachandran, Jaime Ibarra Publisher Springer Nature Published Date 2020-04-06 Page Count 450 Categories Computers / Artificial Intelligence / General, Computers / Database Administration & Management, Computers / Internet / Online Safety & Privacy, Technology & Engineering / Engineering (General), Computers / Information Technology, Computers / Security / General, Technology & Engineering / Fire Science Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 3030357465 This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on the tactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age. More Information

Conceptual Structures /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Conceptual Structures Information Processing in Mind and Machine by John F. Sowa Publisher Addison-Wesley Published Date 1984 Page Count 481 Categories Computers / Artificial Intelligence / General, Psychology / Cognitive Psychology & Cognition, Reference / Questions & Answers Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0201144727 Philosofical basics; Psycological evidence; Conceptual graphs; Reasoning and computation; Language; Knowledge engineering; Limits of conceptualization; Mathematical background; Conceptual catalog. More Information

Hands-On Machine Learning with Scikit-Learn and TensorFlow /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron Publisher "O'Reilly Media, Inc." Published Date 2017-03-13 Page Count 574 Categories Computers / Artificial Intelligence / General, Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Computers / Data Science / General, Computers / Artificial Intelligence / Natural Language Processing, Computers / Data Science / Neural Networks Language EN Average Rating 5 (based on 1 ratings) Maturity Rating No Mature Content Detected ISBN 1491962267 Graphics in this book are printed in black and white. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details More Information

Computers and Cognition /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Computers and Cognition Why Minds Are Not Machines by J.H. Fetzer Publisher Springer Science & Business Media Published Date 2001-11-30 Page Count 352 Categories Computers / Artificial Intelligence / General, Computers / Information Technology, Computers / Software Development & Engineering / General, Computers / Social Aspects, Philosophy / Mind & Body, Psychology / Cognitive Psychology & Cognition, Science / General, Science / Philosophy & Social Aspects, Science / Cognitive Science Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1402002432 An important collection of studies providing a fresh and original perspective on the nature of mind, including thoughtful and detailed arguments that explain why the prevailing paradigm - the computational conception of language and mentality - can no longer be sustained. An alternative approach is advanced, inspired by the work of Charles S. Peirce, according to which minds are sign-using (or `semiotic') systems, which in turn generates distinctions between different kinds of minds and overcomes problems that burden more familiar alternatives. Unlike conceptions of minds as machines, this novel approach has obvious evolutionary implications, where differences in semiotic abilities tend to distinguish the species. From this point of view, the scope and limits of computer and AI systems can be more adequately appraised and alternative accounts of consciousness and cognition can be more thoroughly criticised. Readership: Intermediate and advanced students of computer science, AI, cognitive science, and all students of the philosophy of the mind. More Information

Nine Algorithms That Changed the Future /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Nine Algorithms That Changed the Future The Ingenious Ideas That Drive Today's Computers by John MacCormick Publisher Princeton University Press Published Date 2012 Page Count 219 Categories Computers / Artificial Intelligence / General, Computers / Computer Science, Computers / Programming / Algorithms, Computers / Internet / Search Engines, Science / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0691158193 Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day. More Information

Great Sky River /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Great Sky River by Gregory Benford Publisher Bantam Books Published Date 1988 Page Count 340 Categories Fiction / Science Fiction / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0553273183 In a future dominated by a superior race of artificial minds, the last remnants of humanity begin a desperate flight to save themselves from total extinction, crossing the barren wastes of a once-lush planet called Snowglade. A masterwork of contemporary science fiction. Reprint from Spectra Books. More Information

Valis /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Valis by Philip K. Dick Publisher Vintage Books Published Date 1991 Page Count 241 Categories Fiction / Science Fiction / General Language EN Average Rating 4 (based on 23 ratings) Maturity Rating No Mature Content Detected ISBN 0679734465 Although known during his lifetime as a writer of science fiction, and more recently as the inspiration for such films as Blade Runner and Total Recall, Philip K. Dick properly belongs in the tradition of Vonnegut, Calvino, and Robertson Davies. His novels place touchingly ordinary men and women in intimate congress with the unknowable and the awe-full. Valis is the first book in Philip K. Dick's incomparable final trio of novels (the others are The Divine Invasion and The Transmigration of Timothy Archer). This disorienting and bleakly funny work is about a schizophrenic hero named Horselover Fat; the hidden mysteries of Gnostic Christianity; and reality as revealed through a pink laser. Valis is a theological detective story, in which God is both a missing person and the perpetrator of the ultimate crime. More Information

Evolutionary Computation /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Evolutionary Computation Toward a New Philosophy of Machine Intelligence by David B. Fogel Publisher IEEE Press Published Date 1995 Page Count 272 Categories Computers / Artificial Intelligence / General, Computers / Computer Simulation, Mathematics / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0780310381 The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. More Information

The Simulation Hypothesis /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } The Simulation Hypothesis An MIT Computer Scientist Shows why AI, Quantum Physics and Eastern Mystics Agree We are in a Video Game by Rizwan Virk Publisher Bayview Books Published Date 2019 Page Count 313 Categories Computers / Artificial Intelligence / General, Computers / Computer Science, Religion / Eastern, Science / Physics / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0983056900 The Simulation Hypothesis, by best-selling author, renowned MIT computer scientist and Silicon Valley video game designer Rizwan Virk, is the first serious book to explain one of the most daring and consequential theories of our time. Riz is the Executive Director of Play Labs @ MIT, a video game startup incubator at the MIT Game Lab. Drawing from research and concepts from computer science, artificial intelligence, video games, quantum physics, and referencing both speculative fiction and ancient eastern spiritual texts, Virk shows how all of these traditions come together to point to the idea that we may be inside a simulated reality like the Matrix. The Simulation Hypothesis is the idea that our physical reality, far from being a solid physical universe, is part of an increasingly sophisticated video game-like simulation, where we all have multiple lives, consisting of pixels with its own internal clock run by some giant Artificial Intelligence. Simulation theory explains some of the biggest mysteries of quantum and relativistic physics, such as quantum indeterminacy, parallel universes, and the integral nature of the speed of light. Recently, the idea that we may be living in a giant video game has received a lot of attention: "The chances that we not in a simualtion is one in billions." -Elon Musk "I find it hard to argue we are not in a simulation." -Neil deGrasse Tyson "We are living in computer generated reality." -Philip K. Dick Video game technology has developed from basic arcade and text adventures to MMORPGs. Video game designer Riz Virk shows how these games may continue to evolve in the future, including virtual reality, augmented reality, Artificial Intelligence, and quantum computing. This book shows how this evolution could lead us to the point of being able to develop all encompassing virtual worlds like the Oasis in Ready Player One, or the simulated reality in the Matrix. While the idea sounds like science fiction, many scientists, engineers, and professors have given the Simulation Hypothesis serious consideration. Futurist Ray Kurzweil has popularized the idea of downloading our consciousness into a silicon based device, which would mean we are just digital information after all. Some, like Oxford lecturer Nick Bostrom, goes further and thinks we may in fact be artificially intelligent consciousness inside such a simulation already! But the Simulation Hypothesis is not just a modern idea. Philosophers like Plato have been telling us that we live in a "cave" and can only see shadows of the real world. Mystics of all traditions have long contended that we are living in some kind of "illusion "and that there are other realities which we can access with our minds. While even Judeo-Christian traditions have this idea, Eastern traditions like Buddhism and Hinduism make this idea part of their core tradition -- that we are inside a dream world ("Maya" or illusion, or Vishnu's Dream), and we have "multiple lives" playing different characters when one dies, continuing to gain experience and "level up" after completing certain challenges. Sounds a lot like a video game! Whether you are a computer scientist, a fan of science fiction like the Matrix movies, a video game enthusiast, or a spiritual seeker, The Simulation Hypothesis touches on all these areas, and you will never look at the world the same way again! More Information

The Reality of the Unobservable /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } The Reality of the Unobservable Observability, Unobservability and Their Impact on the Issue of Scientific Realism by Evandro Agazzi, M. Pauri Publisher Springer Science & Business Media Published Date 2000-07-31 Page Count 365 Categories Computers / Artificial Intelligence / General, Philosophy / General, Philosophy / Epistemology, Philosophy / Metaphysics, Science / Physics / Gravity, Science / Physics / Quantum Theory, Science / Physics / Relativity, Science / Philosophy & Social Aspects Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0792363116 Observability and Scientific Realism It is commonly thought that the birth of modern natural science was made possible by an intellectual shift from a mainly abstract and specuJative conception of the world to a carefully elaborated image based on observations. There is some grain of truth in this claim, but this grain depends very much on what one takes observation to be. In the philosophy of science of our century, observation has been practically equated with sense perception. This is understandable if we think of the attitude of radical empiricism that inspired Ernst Mach and the philosophers of the Vienna Circle, who powerfully influenced our century's philosophy of science. However, this was not the atti tude of the f ounders of modern science: Galileo, f or example, expressed in a f amous passage of the Assayer the conviction that perceptual features of the world are merely subjective, and are produced in the 'anima!' by the motion and impacts of unobservable particles that are endowed uniquely with mathematically expressible properties, and which are therefore the real features of the world. Moreover, on other occasions, when defending the Copernican theory, he explicitly remarked that in admitting that the Sun is static and the Earth turns on its own axis, 'reason must do violence to the sense' , and that it is thanks to this violence that one can know the tme constitution of the universe. More Information

Encyclopedia of Machine Learning /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Encyclopedia of Machine Learning by Claude Sammut, Geoffrey I. Webb Publisher Springer Science & Business Media Published Date 2011-03-28 Page Count 1031 Categories Computers / Artificial Intelligence / General, Computers / Computer Science, Computers / Data Science / Data Analytics, Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Mathematics / Probability & Statistics / General, Computers / Software Development & Engineering / General, Computers / Programming / General, Computers / Optical Data Processing Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0387307680 This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest. The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research. More Information

Arguing on the Toulmin Model /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Arguing on the Toulmin Model New Essays in Argument Analysis and Evaluation by David Hitchcock, Bart Verheij Publisher Springer Science & Business Media Published Date 2007-01-24 Page Count 440 Categories Philosophy / Epistemology, Computers / Artificial Intelligence / General, Philosophy / Logic, Philosophy / General Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 1402049382 Summarizing, in The Uses of Argument Toulmin emphasized a number of points that are by now familiar, but still deserve attention: 1. Reasoning and argument involve not only support for points of view, but also attack against them. 2. Reasoning can have qualified conclusions. 3. There are other good types of argument than those of standard formal logic. 4. Unstated assumptions linking premisses to a conclusion are better thought of as inference licenses than as implicit premisses. 5. Standards of reasoning can be field dependent, and can be themselves the subject of argumentation. Each of these points is illustrated by his layout of arguments. The rebuttal illustrates the first point, the qualifier the second point, and the warrant and backing the last three points. 2. RECEPTION OF TOULMIN’S BOOK As Toulmin himself notes in his essay in this volume, which was delivered as an address in 2005, his fellow philosophers we re initially hostile to the ideas in his book. They were taken up, however, by specialists in fields like jurisprudence and psychology, who found that they fit the form s of argument and reasoning that they were studying. And Toulmin’s model was embraced by the field of speech communication in the United States, whose textbooks on argumentation now include an obligatory chapter on the Toulmin model of micro arguments. More Information

If ... Then /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } If ... Then Algorithmic Power and Politics by Taina Bucher Publisher Oxford University Press Published Date 2018 Page Count 200 Categories Business & Economics / Industries / Media & Communications, Computers / Artificial Intelligence / General, Computers / Information Technology, Computers / Social Aspects, Language Arts & Disciplines / Communication Studies, Mathematics / Algebra / General, Political Science / General, Social Science / Media Studies Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 019049302X We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choose the media products we consume. As such, we live algorithmic lives. Life, however, is not blindly controlled or determined by algorithms. Nor are we simply victims of an ever-expanding artificial intelligence. Rather than looking at how technologies shape or are shaped by political institutions, this book is concerned with the ways in which informational infrastructure may be considered political in its capacity to shape social and cultural life. It looks specifically at the conditions of algorithmic life -- how algorithms work, both materially and discursively, to create the conditions for sociality and connectivity. The book argues that the most important aspect of algorithms is not what they are in terms of their specific technical details but rather how they become part of social practices and how different people enlist them as powerful brokers of information, communication and society. If we truly want to engage with the promises of automation and predictive analytics entailed by the promises of "big data", we also need to understand the contours of algorithmic life that condition such practices. Setting out to explore both the specific uses of algorithms and the cultural forms they generate, this book offers a novel understanding of the power and politics of algorithmic life as grounded in case studies that explore the material-discursive dimensions of software. More Information

Flesh and Machines /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } Flesh and Machines How Robots Will Change Us by Rodney Allen Brooks Publisher Pantheon Books Published Date 2002 Page Count 260 Categories Computers / Artificial Intelligence / General, Computers / Cybernetics, Technology & Engineering / Robotics, Technology & Engineering / Social Aspects Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0375420797 "Flesh and Machines "explores the startlingly reciprocal connection between humans and their technological brethren, and explains how this relationship is being redefined as humans develop increasingly complex machines. The impetus to build machines that exhibit lifelike behaviors stretches back centuries, but for the last fifteen years much of this work has been done in Rodney Brooks's laboratory at MIT. His goal is not simply to build machines that are like humans but to alter our perception of the potential capabilities of robots. Our current attitude toward intelligent robots, he asserts, is simply a reflection of our own view of ourselves. In "Flesh and Machines," Brooks challenges that view by suggesting that human nature can be seen to possess the essential characteristics of a machine. Our instinctive rejection of that idea, he believes, is itself a conditioned response: we have programmed ourselves to believe in our "tribal specialness" as proof of our uniqueness. Provocative, persuasive, compelling, and unprecedented, " Flesh and Machines" presents a vision of our future and our future selves. More Information

When Things Start to Think /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } When Things Start to Think by Neil A. Gershenfeld Publisher Macmillan Published Date 1999 Page Count 225 Categories Computers / Artificial Intelligence / General, Computers / Social Aspects, Science / General, Science / Philosophy & Social Aspects, Social Science / General, Technology & Engineering / Electronics / Digital, Technology & Engineering / Social Aspects Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 080505880X This is a book for people who want to know what the future is going to look like and for people who want to know how to create the future. Gershenfeld offers a glimpse at the brave new post-computerized world, where microchips work for us instead of against us. He argues that we waste the potential of the microchip when we confine it to a box on our desk: the real electronic revolution will come when computers have all but disappeared into the walls around us. Imagine a digital book that looks like a traditional book printed on paper and is pleasant to read in bed but has all the mutability of a screen display. How about a personal fabricator that can organize digitized atoms into anything you want, or a musical keyboard that can be woven into a denim jacket? Gershenfeld tells the story of his Things that Think group at MIT's Media Lab, the group of innovative scientists and researchers dedicated to integrating digital technology into the fabric of our lives. More Information

The Emperor's New Mind /* Scoped styles for the book post */ #book-post { padding: 20px; } #book-post .post-container { padding: 20px; border-radius: 8px; max-width: 800px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #book-post .post-header { margin-bottom: 20px; } #book-post .post-header h1 { margin: 0; font-size: 2em; } #book-post .post-header h2 { margin: 0; font-size: 1.2em; } #book-post .book-details { width: 100%; border-collapse: collapse; margin-bottom: 20px; } #book-post .book-details th, #book-post .book-details td { border: 1px solid oklch(0.351 0.0176 260); padding: 8px; text-align: left; } #book-post .book-cover { max-width: 200px; border-radius: 8px; margin: 0 auto; padding-left: 15px; float: right; } #book-post .description { line-height: 1.6; } #book-post .info-link { display: block; margin-top: 20px; } The Emperor's New Mind Concerning Computers, Minds, and the Laws of Physics by Roger Penrose Publisher Penguin Books Published Date 1991 Page Count 466 Categories Computers / General, Computers / Artificial Intelligence / General, Mathematics / General, Philosophy / General, Psychology / Cognitive Psychology & Cognition, Science / Physics / General, Science / Philosophy & Social Aspects Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 0140145346 Will a computer eventually be able to do everything a human can do? For decades, proponents of artificial intelligence have argued yes. In The Emperor's New Mind, eminent physicist Roger Penrose argues that there are facets of human thinking, of human imagination, that can never be emulated by a machine. Exploring a dazzling array of topics -- complex numbers, black holes, entropy, quasicrystals, the structure of the brain, and the physical processes of consciousness -- Penrose demonstrates that laws even more wondrously complex than those of quantum mechanics are essential for the operation of a mind. More Information