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Advances in Artificial Intelligence - IBERAMIA 2008

Author: Hector Geffner

Publisher: Springer Science & Business Media

Published: 2008-09-29

Total Pages: 476

ISBN-13: 3540883088

IBERAMIA is the international conference series of the Ibero-American Art- cialIntelligencecommunitythathasbeenmeetingeverytwoyearssincethe1988 meeting in Barcelona. The conference is supported by the main Ibero-American societies of AI and provides researchers from Portugal, Spain, and Latin Am- ica the opportunity to meet with AI researchers from all over the world. Since 1998, IBERAMIA has been a widely recognized international conference, with its papers written and presented in English, and its proceedings published by Springer in the LNAI series. This volume contains the papers accepted for presentation at Iberamia 2008, held in Lisbon, Portugal in October 2008. For this conference, 147 papers were submitted for the main track, and 46 papers were accepted. Each submitted paper was reviewed by three members of the Program Committee (PC), coor- nated by an Area Chair. In certain cases, extra reviewerswererecruited to write additional reviews. The list of Area Chairs, PC members, and reviewers can be found on the pages that follow. The authors of the submitted papers represent 14 countries with topics c- ering the whole spectrum of themes in AI: robotics and multiagent systems, knowledge representation and constraints, machine learning and planning, n- ural language processing and AI applications. TheprogramforIberamia2008alsoincludedthreeinvitedspeakers:Christian Lemaitre (LANIA, M ́ exico), R. Michael Young (NCSU, USA) and Miguel Dias (Microsoft LDMC, Lisbon) as well as ?ve workshops.

Advances in Artificial Intelligence--IBERAMIA 2008

Author:

Publisher:

Published: 2008

Total Pages: 0

ISBN-13: 9788354088301

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This book constitutes the refereed proceedings of the 11th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2008, held in Lisbon, Portugal, in October 2008. The 46 papers presented were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on Knowledge Representation; Planning and Scheduling; Constraint Satisfaction and Optimization; Probabilistic Reasoning; Machine Learning; Multiagent Systems; Natural Language Processing; Intelligent Information Systems and NLP; Robotics; and Applications.

Advances In Artificial Intelligence: Applications And Theory

Author: James C Bezdek

Publisher: World Scientific

Published: 1990-11-09

Total Pages: 230

ISBN-13: 9814551171

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This volume contains a well-balanced set of applications and theory papers in artificial intelligence advances. The applications papers each discuss a system that is (or is close to being) a fielded system that solves real problems using one or more AI techniques. They cover areas such as education, physics, energy, control, medicine and mechanical engineering.The theory papers, representing recent advances in various theoretical aspects of AI technology, concern themselves with “building block” issues, i.e. theories, algorithms, architectures, and software tools that can or will be used for modules within future systems. The topics covered are: clustering, natural language, adaptive algorithms, distributed processing, knowledge acquisition, and systems programming.

Advanced Artificial Intelligence

Author: Zhongzhi Shi

Publisher: World Scientific

Published: 2011-03-04

Total Pages: 631

ISBN-13: 9814466123

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Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavior.Advanced Artificial Intelligence consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarizes the author's scientific efforts over many years. The book discusses the methods and key technology from theory, algorithm, system and applications related to artificial intelligence. This book can be regarded as a textbook for senior students or graduate students in the information field and related tertiary specialities. It is also suitable as a reference book for relevant scientific and technical personnel.

Artificial Intelligence and Industrial Applications

Author: Tawfik Masrour

Publisher: Springer Nature

Published: 2023-10-16

Total Pages: 493

ISBN-13: 3031435206

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Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

From Artificial Intelligence to Brain Intelligence

Author: Rajiv Joshi

Publisher: CRC Press

Published: 2022-09-01

Total Pages: 209

ISBN-13: 1000795829

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Research in Artificial Intelligence (AI) is not new, it has been around since 1950’s. AI resurfaced at that time while Moore’s law was on an aggressive path of scaling, with the transformation of NMOS and later bipolar technology to CMOS for high performance, low power as well as low cost applications.Several breakthroughs in the electronics industry helped to push Moore’s law in chip miniaturization along with increased computing power (parallel and distributed processing) and memory bandwidth. Once this paradigm shift occurred it naturally opened doors for AI as it required big data manipulations, and thus AI could thrive again. AI has already shown success in industries such as finance, marketing, health care, transportation, gaming, education and the defence and space, to name but a few.The human brain amazingly has a memory in the order of millions of digital bits, however it cannot compete with machines for data crunching and speed. Thus tomorrow’s world will be a World of Wonders of Artificial Intelligence (WOW- AI), to compensate the computational limitations of human beings. In short, AI research and applications will continue to grow with the development of software, algorithms and hardware accelerators.To continue the development of AI, an advanced AI Compute Symposium was launched with the sponsorship of IBM, IEEE CAS and EDS, from which this book came. Overall, the book covers two broad topics: general AI advances, and applications to neuromorphic computing.

When Machines Learn

Author: Lars Meyer

Publisher: eBookIt.com

Published: 2024-01-04

Total Pages: 149

ISBN-13: 1456643916

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Discover the Dawn of a New Era: The Ties Between Artificial Intelligence and Our Future Imagine a world where every aspect of life is enhanced by artificial intelligence--our jobs, our ethical decisions, and even the way we interact with one another. "When Machines Learn: AI and the Transformation of Society" is a gripping exploration of this not-so-distant future, where AI is not only a tool but a transformative force reshaping every facet of human existence. Dive into the heart of innovation with the pioneering journey through the evolution of artificial intelligence. Unravel the mysteries of its fundamentals and witness history unfold, as AI advances from primitive concepts to sophisticated systems that seamlessly integrate into our daily lives. Take a front-seat tour of the most groundbreaking applications that are setting the stage for a revolution. With humanity at a critical crossroads, explore the intricate dance between AI and its impact on the workforce. Jobs will evolve, industries will be reborn, and a new skilled labor market will rise from the ashes of automation. This book peels back layers of fear and uncertainty, revealing the silver lining of opportunities that lie ahead. Yet, this brave new world comes with its moral dilemmas. Delve into the heart of AI's ethical considerations, addressing the challenging questions of bias, equality, and the importance of transparent and accountable systems. What are the implications for privacy in a data-driven world? How do we navigate the tightrope between technological advancement and the protection of individual rights? Discover how AI will shape the future of humanity, not just through technological prowess but by redefining the core of societal values. Human-AI collaboration paints a vivid picture of enhanced human capabilities, while case studies of AI-driven innovation showcase the explosive potential at our fingertips. The book casts a gaze upon the global stage, examining international policies and the geopolitical race for AI supremacy. It shows us how artificial intelligence can redefine the way we live our daily lives, from personalized experiences to groundbreaking strides in health, education, and transportation. Prepare yourself with knowledge to face the imminent AI future. If you're curious about how AI will disrupt, reconstruct, and innovate the world as we know it, this book is your essential guide to understanding and embracing the AI revolution. Step into the pages of "When Machines Learn" and navigate the boundless possibilities of tomorrow.

Artificial Intelligence Revolution

Author: Robin Li

Publisher: Simon and Schuster

Published: 2020-09-22

Total Pages: 308

ISBN-13: 1510753001

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The co-founder of Baidu explains how AI will transform human livelihood, from our economy and financial systems down to our daily lives. Written by Baidu cofounder Robin Li and prefaced by award-winning sci-fi writer Cixin Liu (author of The Three-Body Problem), Artificial Intelligence Revolution introduces Baidu’s teams of top scientists and management as pioneers of movement toward AI. The book covers many of the latest AI-related ideas and technological developments, such as: Computational ability Big data resources Setting the basic standards of AI in research and development An introduction to the “super brain” Intelligent manufacturing Deep learning L4 automated vehicles Smart finance The book describes the emergence of a “smart” society powered by technology and reflects on the challenges humanity is about to face. Li covers the most pressing AI-related ideas and technological developments, including: Will artificial intelligence replace human workers, and in what sectors of the economy? How will it affect healthcare and finance? How will daily human life change? Robin Li’s Artificial Intelligence Revolution addresses these questions and more from the perspective of a pioneer of AI development. It's a must-read for anyone concerned about the emergence of a “smart” society powered by technology and the challenges humanity is about to face.

Artificial Intelligence and Machine Learning for Smart Community

Author: T V Ramana

Publisher: CRC Press

Published: 2024-01-26

Total Pages: 148

ISBN-13: 1003835724

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Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

AI*Ia 99

Author: Evelina Lamma

Publisher:

Published: 2014-01-15

Total Pages: 408

ISBN-13: 9783662194133

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