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Artificial intelligence-based Internet of things systems
Discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. Addresses the complete functional framework workflow in AI-enabled IoT ecosystem; Presents intelligent object identification and object discovery through the IoT ecosystem and its implications to the real world ;Explores security and privacy issues and trustworthy machine learning related to data-intensive technologies in AI-based IoT ecosystems.
Artificial intelligence techniques for satellite image analysis
The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
Artificial intelligence in the financial services industry
Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.
Artificial intelligence in pharmacy
Artificial intelligence (AI) is a branch of computer science that deals with the problem-solving by the aid of symbolic programming. It has greatly evolved into a science of problem-solving with huge applications in business, health care, and engineering. One of the pivotal applications of AI is the development of the expert system. With the advent of big data and Al, robots are now becoming more trustworthy for doctors, and a large number of institutions are now employing robots along with human supervision to carry out activities that were previously done by humans...
Artificial intelligence in medicine ; 11th Conference on artificial intelligence in medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings
This book contains development of theory, systems, and applications of AI in medicine, including the exploitationof AI approachesto molecularmedicine and biomedical informatics.
Artificial intelligence in dentistry
Focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence.
Artificial intelligence hardware design : Challenges and solutions
Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field. A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition
Artificial intelligence based nutrition app
As AI becomes a giant trend in the business world, mobile apps are one of the usage areas, which people can benefit from. People can automate their tasks with AI-based mobile apps. As the mobile app understand how processes work, it can automate some procedures and reduce the duration of them. In this way, people can save time and improve their productivity. In addition, personalized content also improves user engagement and meets user expectations more. Many other features of AI can be integrated into mobile apps and improve user experience.
Artificial intelligence based cancer nanomedicine : Diagnostics, therapeutics and bioethics
Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.
Artificial Intelligence Applications for Health Care
Covers topics on health care and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and images (X-rays, MRI, CT) are explored, analyzed, and processed through different computation intelligence methods. Applications of computational intelligence techniques like artificial and deep neural networks, swarm optimization, expert systems, decision support systems, clustering, and classification techniques on medial datasets are explained. Survey of medical signals, medial images, and computation intelligence methods are also provided.
Artificial intelligence and national security
Analyses the implications of the technical, legal, ethical and privacy challenges as well as challenges for human rights and civil liberties regarding Artificial Intelligence (AI) and National Security. It also offers solutions that can be adopted to mitigate or eradicate these challenges wherever possible. As a general-purpose, dual-use technology, AI can be deployed for both good and evil. The use of AI is increasingly becoming of paramount importance to the governments mission to keep their nations safe. However, the design, development and use of AI for national security poses a wide range of legal, ethical, moral and privacy challenges. This book explores national security uses for Artificial Intelligence (AI) in Western Democracies and its malicious use. This book also investigates the legal, political, ethical, moral, privacy and human rights implications of the national security uses of AI in the aforementioned democracies. It illustrates how AI for national security purposes could threaten most individual fundamental rights, and how the use of AI in digital policing could undermine user human rights and privacy.
Artificial intelligence and legal analytics : new tools for law practice in the digital age
The field of artificial intelligence (AI) and the law is on the cusp of a revolution. This book - designed to explain computational processes to non-programmers - describes how text analytic programs will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text.
Artificial intelligence and knowledge engineering applications : A bioinspired approach ; 1st international work-Conference on the interplay between natural and artificial computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings, Part II
The computational paradigm considered here is a conceptual, theoretical andformal framework situated above machines and living creatures (two instantia-tions), sufficiently solid, and still non-exclusive, that allows us:1. to help neuroscientists to formulate intentions, questions, experiments, meth-ods and explanation mechanisms assuming that neural circuits are the psy-chological support of calculus;2. to help scientists and engineers from the fields of artificial intelligence (AI)and knowledge engineering (KE) to model, formalize and program the com-putable part of human knowledge;3. to establish an interaction framework between natural system computation(NSC) and artificial system computation (ASC) in both directions, fromASC to NSC (in computational neuroscience), and from NSC to ASC (inbioinspired computation).
Artificial intelligence and data mining approaches in security frameworks
Offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks ; Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day ; Contains numerous examples, offering critical solutions to engineers and scientists ; Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Artificial Intelligence and Cybersecurity : Advances and Innovations
Provides advanced system implementation for Smart Cities using artificial intelligence. It addresses the complete functional framework workflow and explores basic and high-level concepts. The book is based on the latest technologies covering major challenges, issues and advances, and discusses intelligent data management and automated systems.
Artificial intelligence : Methodology, systems, and applications ; 10th International Conference, AIMSA 2002, Varna, Bulgaria, September 4-6, 2002. Proceedings
The AIMSA conference series was frst conceived in 1984 as a gathering of AI researchers and students from Eastern and Central Europe.Sincethenthecon- rence has followed a biennial schedule of meetings in Bulgaria, attracting parti- pantsfrom awidergeographicalarea.The AIMSA organizers are delighted to present you with another exciting program, coveringmostareasof Artifcial Intelligence.Inkeepingwithitsm- sion to inform the research community and excite the commercial sector, AIMSA presents this year two invited contributions from world-leading European rese- chersworkingoncutting-edgeAIresearch: Prof.CaroleGoble, ontheSemantic Web.
Artificial intelligence : A modern approach ; global ed.
Explores the full breadth and depth of the field of artificial intelligence (AI). The 4th edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI
Artificial immune systems ; Vol. 4163 : 5th International conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings
ICARIS 2006 is the ?fth instance of a series of conferences dedicated to the comprehension and the exploitation of immunological principles through their translation into computational terms.Their axis of research tries to stabilize an on-going identity somewhere in the crossroad of engineering (building useful artifacts), natural sciences (biologyor psychology— improving the comprehension and prediction of natural phenomena) and t- oretical computer sciences (developing and mastering the algorithmic world). Accordingly and depending on which of these perspectives receives more s- port, they attempt at attracting di?erent kinds of scientists and at stimul- ing di?erent kinds of scienti?c attitudes. For many years and in the previous ICARIS conferences, it was clearly the “engineering.
Artificial immune systems ; Vol. 3627 ; 4th International conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings
Your immune system is unique. It is in many ways as complex as your brain, butit is not centred in one location, like the brain. It is not a single organ—it consistsof many different cell types, diverse methods of intercellular communication, andmany different organs. Its functionality is blurred throughout you—we can’textract the immune system, or point to where it begins and ends. The immunesystem is not separable from the system it protects. It has integral links to everyorgan of our bodies.This has radical implications for the field of Artificial Immune Systems (AIS),that we are only now beginning to comprehend. One of the first insights is thatmodelling the immune system, or developing any kind of immune algorithm, isdifficult. The immune system is one aspect of biology that we find difficult toapply simple reductionist explanations to. We can very successfully extract sub-processes of the whole and create immune algorithms based on those processes.
Artificial gravity
"This book reviews the principle and rationale for using artificial gravity during space missions, and describes the current options proposed, including a short-radius centrifuge contained within a spacecraft. In Artificial Gravity, experts provide recommendations on the research needed to assess whether or not short-radius centrifuge workouts can help limit deconditioning of physiological systems.""Aided by an exquisite group of experts, Gilles Clement and Angie Bukley have managed to put together THE new, comprehensive reference book on artificial gravity. This book will be an essential resource for students, scientists, and program planners alike."
