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Artificial Intelligence Related Research On The Connection Machine
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Book Synopsis Artificial Intelligence Related Research on the Connection Machine by : David Waltz
Download or read book Artificial Intelligence Related Research on the Connection Machine written by David Waltz and published by . This book was released on 1990 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Artificial Intelligence (AI) has a demand for high- performance non-numerical computing which, until the development of practical parallel computing engines such as the Connection Machine, was largely unmet. In this paper we summarize a variety of AI applications of the Connection Machine. deKleer's ATMS has been modified to run on the CM, which is both much faster and much simpler than the LISP-based ATMS system. A new AI technique, memory-based reasoning, has been developed and applied to the pronunciation of English language text. A parallel dynamic memory system (PARADYME) has been developed for the case-based reasoning system JULIA.
Book Synopsis The Connection Machine by : W. Daniel Hillis
Download or read book The Connection Machine written by W. Daniel Hillis and published by MIT Press. This book was released on 1985 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes a new kind of computer which involves parallel processing and hundreds of small microprocessors with individually integrated memories, and discusses the LISP programming language, data structures, and storage allocation.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Book Synopsis Human-Machine Shared Contexts by : William Lawless
Download or read book Human-Machine Shared Contexts written by William Lawless and published by Academic Press. This book was released on 2020-06-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of "shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. - Discusses the foundations, metrics, and applications of human-machine systems - Considers advances and challenges in the performance of autonomous machines and teams of humans - Debates theoretical human-machine ecosystem models and what happens when machines malfunction
Book Synopsis Science On The Connection Machine - Proceedings Of The First European Cm Users Meeting by : Th Lippert
Download or read book Science On The Connection Machine - Proceedings Of The First European Cm Users Meeting written by Th Lippert and published by World Scientific. This book was released on 1992-12-29 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of these proceedings is to help disseminate the knowledge about the potential of parallel computing. The contents give an overview of various European sites pioneering the Connection Machine and convey a flavour of the different applications that run efficiently on this parallel architecture.
Book Synopsis A Robot Ping-pong Player by : Russell L. Andersson
Download or read book A Robot Ping-pong Player written by Russell L. Andersson and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning For Absolute Beginners by : Jonathan Fitzpatrick
Download or read book Machine Learning For Absolute Beginners written by Jonathan Fitzpatrick and published by Independently Published. This book was released on 2019-11-29 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Different computer concepts have been misused and sometimes interchanged, leading to confusion, especially for new computer users and researchers. However, the knowledge of computer studies terms these concepts, which are almost similar but differ from each other. Besides, all these concepts of computer systems, both hardware and software are connected or depend on each other in different ways. As such, this book is what you have been waiting for to learn these terms, which seem to represent a similar computer process. The metrics of how broad computer studies do not matter, but the primary understanding of these concepts does. Machine learning, data science, pattern recognition, artificial intelligence, and deep learning are the most commonly confused and interchanged terms used out there. Inside this book, however, you will find the descriptions of both machine learning and data science and their connections and relationship. That is, you have to initially learn and have a general idea about machine learning and data science, which therefore provides a connection between the two concepts. Inside, you will find an overview of machine learning, including the definition, building blocks, and the common types used today. On the other hand, you will also find all you need to know about data science, including the definition and a general understanding through highlighted examples. Besides, the book also details the components of data science, allowing you to note the differences and similarities with machine learning. To this end, you will then find the connection between machine learning and data science, including the similarities which confuse some individuals and the differences, which separates these two computer study concepts. Also, inside, you will find the impact of neural networks on both machine learning and pattern recognition. The book initially details about neural networks, which is an essential topic in computer studies, especially in making machines learn, think, and behave like humans. You will find a general overview of neural networks and how the human brain structure and functions contributed to the creation of learning skills in computers. Also included are the components of neural networks and the connection it has to machine learning. Neural networks provide a significant contribution to machine learning, especially in handling complex datasets. Similarly, also included in the book is the contribution of neural networks in pattern recognition. Pattern recognition is another essential form of intelligence in machines where arrangements and retrieval of information based on trends are made possible by neural networks. Inside You Will Find The general understanding of machine learning, data science, neural networks, and pattern recognition The components of machine learning, data science, and neural networks Essential types of machine learning and how they help in the creation of information used in other computer concepts Similarities and differences between machine learning and data science The connection and relationship between data science and machine learning especially when it comes to the facilitation of processes datasets analysis Neural networks in machine learning and how they learn new information Neural networks in pattern recognition as well as its benefits in distinguishing different shapes, objects and images And more...
Book Synopsis Parallelization in Inference Systems by : Bertram Fronhöfer
Download or read book Parallelization in Inference Systems written by Bertram Fronhöfer and published by Springer Science & Business Media. This book was released on 1992-04-22 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of an international workshop on parallelism in inference systems held in Germany in December 1990. The topicof the workshop is still rather young and several papers in the book are overview articles intended to provide a first orientation toward some of the more intensively investigated subtopics. The main part of the book is a compilation of research papers on parallelization in special domains ofinference such as rewriting, automatic reasoning, logic programming, andconnectionist inference. Appended to the book is a collection of short project summaries received in response to a worldwide email call. The book is intended primarily for researchers working on inference systems who are interested in parallelizing their systems.
Book Synopsis Nonmonotonic Reasoning by : Grigoris Antoniou
Download or read book Nonmonotonic Reasoning written by Grigoris Antoniou and published by MIT Press. This book was released on 1997 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonmonotonic reasoning provides formal methods that enable intelligent systems to operate adequately when faced with incomplete or changing information. In particular, it provides rigorous mechanisms for taking back conclusions that, in the presence of new information, turn out to be wrong and for deriving new, alternative conclusions instead. Nonmonotonic reasoning methods provide rigor similar to that of classical reasoning; they form a base for validation and verification and therefore increase confidence in intelligent systems that work with incomplete and changing information. Following a brief introduction to the concepts of predicate logic that are needed in the subsequent chapters, this book presents an in depth treatment of default logic. Other subjects covered include the major approaches of autoepistemic logic and circumscription, belief revision and its relationship to nonmonotonic inference, and briefly, the stable and well-founded semantics of logic programs.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1799877485 Total Pages :2253 pages Book Rating :4.7/5 (998 download)
Book Synopsis Research Anthology on Artificial Intelligence Applications in Security by : Management Association, Information Resources
Download or read book Research Anthology on Artificial Intelligence Applications in Security written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-11-27 with total page 2253 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.
Download or read book Machine Learning written by and published by . This book was released on 2017 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Connection Machine by : W.D. Hillis
Download or read book The Connection Machine written by W.D. Hillis and published by . This book was released on 1987 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific Applications Of The Connection Machine (2nd Edition) by : Horst D Simon
Download or read book Scientific Applications Of The Connection Machine (2nd Edition) written by Horst D Simon and published by World Scientific. This book was released on 1991-12-16 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Connection Machine is one of the first commercially available machines which allows users to explore massive parallelism for the solution of large scale engineering and scientific applications. The CM2 features up to 64,000 processors. This is parallelism on an unprecedented scale which opens up new areas of computational science. Because of the overwhelming response to the first edition, a new edition has been prepared. New papers which document recent developments are added, bringing the volume up-to-date.
Book Synopsis Brain-Machine Connection by : Dave Mahoney
Download or read book Brain-Machine Connection written by Dave Mahoney and published by . This book was released on 2023-11-22 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a journey into the future with"Brain-Machine Connection: Artificial Intelligence, Blockchain and the Human Mind". This e-book is an invitation to uncover the fascinating secrets of the intersection between the human mind and cutting-edge technology. From Brain-Machine Interfaces (BCI) to Artificial Intelligence (AI), via blockchain and the vast world of data, immerse yourself in a universe where innovation redefines what is possible. Discover how mind reading and AI are converging to create experiences that push the boundaries of our understanding. Explore the innovative security provided byblockchain, and delve into the vast possibilities that data offers to shape our tomorrow. By unraveling the impact of these revolutionary technologies,"Brain-Machine Connection" not only explores technological advances, but also sheds light on the ethical issues, challenges, and opportunities that shape our collective future. Get ready for a reading experience that goes beyond the ordinary, awakening your curiosity and inviting you to reflect on the role of technology in our evolution. Enter the world of infinite possibilities, where mind and machine meet, and discover the extraordinary that is lurking on the horizon.
Book Synopsis Conversational Artificial Intelligence by : Romil Rawat
Download or read book Conversational Artificial Intelligence written by Romil Rawat and published by John Wiley & Sons. This book was released on 2024-01-30 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI applications. It is particularly suited for those that bridge the academic world and industry, allowing readers to understand the security concerns in advanced security solutions for conversational AI in the cloud platform domain by reviewing present and evolving security solutions, their limitations, and future research directions. Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details.
Book Synopsis Machine Learning in Signal Processing by : Sudeep Tanwar
Download or read book Machine Learning in Signal Processing written by Sudeep Tanwar and published by CRC Press. This book was released on 2021-12-09 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Book Synopsis Artificial Intelligence Theory For Management by : Harry Katzan Jr.
Download or read book Artificial Intelligence Theory For Management written by Harry Katzan Jr. and published by iUniverse. This book was released on 2023-09-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an introductory book about Artificial Intelligence Theory based on Service Science. It is not for AI specialists. It is too simple for them. As unusual as it sounds, there is a very good reason for its existence. There are existing books on the subject that are very good but are very difficult to read. Its that simple. The concepts are complicated and some require complex math. A typical example is the subject of neural networks. A person should know what theory governs the new field of artificial intelligence, because we will be involved if only at the listening level or going into a meeting. Artificial Intelligence is here to stay this time. It’s a third try to bring the subject to the forefront. It is here for the future, and it is here to stay because the world needs it. We are in the midst of war, preparation for defense, a dismal economic outlook, crime, killing, and so forth. We need it because if we continue the way we are going, we won’t be going anywhere for very long. Practically everything is disarray. Just name them: violence, shady politics, global warming, discrimination, abortion, women’s birth problems, men’s cancer. What is the solution? It is twofold. Equitably use the information we have and permit the human race to communicate and act in a reasonable manner. Through Artificial Intelligence, often referred to as AI, we have the key to managing our lives on a daily basis – worldwide. There is a lot going on in the area of AI, as it’s called. Young people all over the place are into it. New software is being developed. There is a generative AI system named ChatGPT developed by a company named OpenAI that has done a good job with new developments. What is a manager to do. A company named IBM is in the field with a system called IBM Watson, that operates out of the cloud is also in the game. In fact, this book can give you some insight into what is going on. It contains three snippets on ChatGPT, IBM Watson, and Data Science that are included at the end of the book. Instead of business and government leaders having to tell us what they are going to do, we can and will be addressing that subject through AI. AI is a systems concept, not a single piece of software you can buy at a local store. Can you imagine a kid telling you they have computers and AI, meaning software apps. You will be able to obtain AI capability but it needs to be blended into the infrastructure to its host organization. A good example is the Watson System developed by IBM. It can, will, and has done wonders with design and analytics, but you probably will need some help in employing the computational infrastructure. There are already competition systems but Watson is mentioned because it beat some Jeopardy! champions at their own game. So, here is what we are providing to you with in this book. A straightforward description of the subject of AI that is easy to read. No more and no less. You can jump into this book at any point and get something out of it. In addition, you will get a quick survey of Service Science. After all, Artificial Intelligence is a service In the best sense of the word. The book is not expensive and something you would enjoy giving to a relative or friend. The book adheres to the author’s principle of no sex, no violence, and no bad language. It is accessible to all readers. This need not be said for a book of this type, but I like saying it.
