AI Verification
| Author | : Guy Avni |
| Publisher | : Springer Nature |
| Total Pages | : 197 |
| Release | : |
| Genre | : |
| ISBN | : 303165112X |
Ai Verification
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Introduction to Neural Network Verification
| Author | : Aws Albarghouthi |
| Publisher | : |
| Total Pages | : 182 |
| Release | : 2021-12-02 |
| Genre | : |
| ISBN | : 9781680839104 |
Over the past decade, a number of hardware and software advances have conspired to thrust deep learning and neural networks to the forefront of computing. Deep learning has created a qualitative shift in our conception of what software is and what it can do: Every day we're seeing new applications of deep learning, from healthcare to art, and it feels like we're only scratching the surface of a universe of new possibilities. This book offers the first introduction of foundational ideas from automated verification as applied to deep neural networks and deep learning. It is divided into three parts: Part 1 defines neural networks as data-flow graphs of operators over real-valued inputs. Part 2 discusses constraint-based techniques for verification. Part 3 discusses abstraction-based techniques for verification. The book is a self-contained treatment of a topic that sits at the intersection of machine learning and formal verification. It can serve as an introduction to the field for first-year graduate students or senior undergraduates, even if they have not been exposed to deep learning or verification.
AI
| Author | : Roman V. Yampolskiy |
| Publisher | : CRC Press |
| Total Pages | : 240 |
| Release | : 2024-02-23 |
| Genre | : Computers |
| ISBN | : 1003846912 |
Delving into the deeply enigmatic nature of Artificial Intelligence (AI), AI: Unexplainable, Unpredictable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values and knowledge. Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence (AGI). Bridging the gap between technical intricacies and philosophical musings, AI: Unexplainable, Unpredictable, Uncontrollable appeals to both AI experts and enthusiasts looking for a comprehensive understanding of the field, whilst also being written for a general audience with minimal technical jargon.
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
| Author | : Brian J. Taylor |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 280 |
| Release | : 2006-03-20 |
| Genre | : Computers |
| ISBN | : 0387294856 |
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
AI Verification
| Author | : Guy Avni |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2024-08-23 |
| Genre | : Computers |
| ISBN | : 9783031651113 |
This LNCS volume constitutes the proceedings of the First International Symposium on AI Verification, SAIV 2024, in Montreal, QC, Canada, during July 2024. The scope of the topics was broadly categorized into two groups. The first group, formal methods for artificial intelligence, comprised: formal specifications for systems with AI components; formal methods for analyzing systems with AI components; formal synthesis methods of AI components; testing approaches for systems with AI components; statistical approaches for analyzing systems with AI components; and approaches for enhancing the explainability of systems with AI components. The second group, artificial intelligence for formal methods, comprised: AI methods for formal verification; AI methods for formal synthesis; AI methods for safe control; and AI methods for falsification.
Validation and Verification of Knowledge Based Systems
| Author | : Anca Vermesan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 363 |
| Release | : 2013-04-17 |
| Genre | : Computers |
| ISBN | : 1475769164 |
Knowledge-based (KB) technology is being applied to complex problem-solving and critical tasks in many application domains. Concerns have naturally arisen as to the dependability of knowledge-based systems (KBS). As with any software, attention to quality and safety must be paid throughout development of a KBS and rigorous verification and validation (V&V) techniques must be employed. Research in V&V of KBS has emerged as a distinct field only in the last decade and is intended to address issues associated with quality and safety aspects of KBS and to credit such applications with the same degree of dependability as conventional applications. In recent years, V&V of KBS has been the topic of annual workshops associated with the main AI conferences, such as AAAI, IJACI and ECAI. Validation and Verification of Knowledge Based Systems contains a collection of papers, dealing with all aspects of KBS V&V, presented at the Fifth European Symposium on Verification and Validation of Knowledge Based Systems and Components (EUROVAV'99 - which was held in Oslo in the summer of 1999, and was sponsored by Det Norske Veritas and the British Computer Society's Specialist Group on Expert Systems (SGES).
AI and Deep Learning in Biometric Security
| Author | : Gaurav Jaswal |
| Publisher | : CRC Press |
| Total Pages | : 379 |
| Release | : 2021-03-21 |
| Genre | : Computers |
| ISBN | : 1000291626 |
This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security.
Verification and Validation of AI Software
| Author | : |
| Publisher | : |
| Total Pages | : 144 |
| Release | : 1992 |
| Genre | : |
| ISBN | : |
This document provides practical advice on how to improve V and V on Al projects. The question we attempt to answer is: How can I apply my knowledge of V and V practice to Al development, which seems very different from the examples from textbooks, and which cannot be easily mapped into the lifecycle models of the DOD standards? Part I lays a firm foundation by defining terms such as verification, validation, and artificial intelligence. Also, a new representation of system lifecycles is presented which we believe you will find useful in analyzing your organization's Al development efforts. In Part II the focus shifts to providing advice, with section addressed to project leaders, system specifiers's, designers, programmers, and documenters. Each role contributes in a different way to the overall V and V process, so we present a set of guidelines specific to each role. Part III is a collection of three appendices: (1) A user's manual for a software tool, ASP, developed under this contract which supports the V and V process by allowing programmers to better integrate formal testing with code development; (2) A glossary of V and V terms; and (3) A guide to commercially available CASE tools.
Automated Technology for Verification and Analysis
| Author | : Tevfik Bultan |
| Publisher | : Springer |
| Total Pages | : 545 |
| Release | : 2011-10-01 |
| Genre | : Computers |
| ISBN | : 364224372X |
This book constitutes the refereed proceedings of the 9th International Symposium on Automated Technology for Verification and Analysis, ATVA 2011, held in Taipei, Taiwan, in October 2011. The 23 revised regular papers presented together with 5 invited papers, 11 short papers, and 2 tool papers, were carefully reviewed and selected from 75 submissions. The papers address all theoretical and practical aspects of automated analysis, verification and synthesis; thus providing a forum for interaction between the regional and the international research communities and industry in the field.
Runtime Verification
| Author | : Bernd Finkbeiner |
| Publisher | : Springer Nature |
| Total Pages | : 413 |
| Release | : 2019-10-03 |
| Genre | : Computers |
| ISBN | : 3030320790 |
This book constitutes the refereed proceedings of the 19th International Conference on Runtime Verification, RV 2019, held in Porto, Portugal, in October 2019. The 25 regular papers presented in this book were carefully reviewed and selected from 38 submissions. The RV conference is concerned with all aspects of monitoring and analysis of hardware, software and more general system executions. Runtime verification techniques are lightweight techniques to assess system correctness, reliability, and robustness; these techniques are significantly more powerful and versatile than conventional testing, and more practical than exhaustive formal verification. Chapter “Assumption-Based Runtime Verification with Partial Observability and Resets” and chapter “NuRV: a nuXmv Extension for Runtime Verification“ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
