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Author: Guy Avni
Publisher: Springer Nature
ISBN: 303165112X
Category :
Languages : en
Pages : 197
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Book Description
Author: Guy Avni
Publisher: Springer Nature
ISBN: 303165112X
Category :
Languages : en
Pages : 197
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Book Description
Author: Tevfik Bultan
Publisher: Springer Science & Business Media
ISBN: 3642243711
Category : Computers
Languages : en
Pages : 545
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Book Description
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.
Author: Alexandra Silva
Publisher: Springer Nature
ISBN: 3030816885
Category : Computers
Languages : en
Pages : 955
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Book Description
This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021. The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections: Part I: invited papers; AI verification; concurrency and blockchain; hybrid and cyber-physical systems; security; and synthesis. Part II: complexity and termination; decision procedures and solvers; hardware and model checking; logical foundations; and software verification.
Author: Aws Albarghouthi
Publisher:
ISBN: 9781680839104
Category :
Languages : en
Pages : 182
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Book Description
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.
Author: Wenshuan Dang
Publisher: CRC Press
ISBN: 1003826385
Category : Computers
Languages : en
Pages : 396
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Book Description
Aiming to outline the vision of realizing automated and intelligent communication networks in the era of intelligence, this book describes the development history, application scenarios, theories, architectures, and key technologies of Huawei's Autonomous Driving Network (ADN) solution. In the book, the authors explain the design of the top-level architecture, hierarchical architecture (ANE, NetGraph, and AI Native NE), and key feature architecture (distributed AI and endogenous security) that underpin Huawei's ADN solution. The book delves into various key technologies, including trustworthy AI, distributed AI, digital twin, network simulation, digitization of knowledge and expertise, human-machine symbiosis, NE endogenous intelligence, and endogenous security. It also provides an overview of the standards and level evaluation methods defined by industry and standards organizations, and uses Huawei's ADN solution as an example to illustrate how to implement AN. This book is an essential reference for professionals and researchers who want to gain a deeper understanding of automated and intelligent communication networks and their applications.
Author: Shuvendu K. Lahiri
Publisher: Springer Nature
ISBN: 3030532917
Category : Computers
Languages : en
Pages : 697
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Book Description
The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.
Author: Phil Pallen
Publisher: Simon and Schuster
ISBN: 1507222904
Category : Business & Economics
Languages : en
Pages : 179
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Book Description
An essential guide for small business owners and entrepreneurs looking to use artificial intelligence to automate tasks, improve customer service, make better decisions, grow their businesses faster, and stay ahead of the AI curve. ChatGPT, machine learning, automation, natural language processing. Every day, it seems like there is a new AI term to learn and a new promise of how it will improve your work. But with tons of conflicting information, small business owners are left wondering exactly how to leverage AI technology to grow and, more importantly, stay competitive with larger companies. Cutting through the buzzwords and media frenzy, AI for Small Business is the road map to take you from overwhelmed to empowered. Opening with simple explanations of AI basics and clarification of myths, you are empowered to assess your goals to create a comprehensive AI strategy for your business—including information on selecting tools, a timeline for implementation, and ideas for scaling systems. This essential guide then walks you through practical AI applications for each department, informing you how to use AI to automate tasks, make better decisions, and grow your business in all areas including: -Sales -Marketing -Social media and content creation -Customer service -Finance and accounting -Operations and logistics -Human resources and talent management -Data analysis and decision-making -Security and legal compliance -R&D and innovation Author Phil Pallen is a brand strategist who uses his AI expertise to help hundreds of businesses scale and grow profits. In AI for Small Business, case studies from Pallen’s successful clients illustrate how real small business owners are applying AI technology in various ways. Plus, ready-to-try prompt sidebars and specific product recommendations allow you to start employing the power of AI in real time.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 162
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Book Description
Author: Andreas Hotho
Publisher: Springer Nature
ISBN: 3031708938
Category :
Languages : en
Pages : 374
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Book Description
Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 9819742285
Category :
Languages : en
Pages : 761
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Book Description
