Emerging Trends And Advanced Technologies For Computational Intelligence

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Emerging Trends and Advanced Technologies for Computational Intelligence

Author : Liming Chen,Supriya Kapoor,Rahul Bhatia
Publisher : Springer
Page : 414 pages
File Size : 45,7 Mb
Release : 2016-06-06
Category : Computers
ISBN : 9783319333533

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Emerging Trends and Advanced Technologies for Computational Intelligence by Liming Chen,Supriya Kapoor,Rahul Bhatia Pdf

This book is a collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2015. It contains twenty-one chapters in the field of Computational Intelligence, which received highly recommended feedback during SAI Conference 2015 review process. During the three-day event 260 scientists, technology developers, young researcher including PhD students, and industrial practitioners from 56 countries have engaged intensively in presentations, demonstrations, open panel sessions and informal discussions.

Artificial Intelligence

Author : Marco Antonio Aceves-Fernandez
Publisher : BoD – Books on Demand
Page : 466 pages
File Size : 45,9 Mb
Release : 2018-06-27
Category : Computers
ISBN : 9781789233643

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Artificial Intelligence by Marco Antonio Aceves-Fernandez Pdf

Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Recent Trends in Computational Intelligence Enabled Research

Author : Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Publisher : Academic Press
Page : 420 pages
File Size : 43,5 Mb
Release : 2021-07-31
Category : Computers
ISBN : 9780323851794

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Recent Trends in Computational Intelligence Enabled Research by Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan Pdf

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Handbook of Research on Emerging Trends and Applications of Machine Learning

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 40,7 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities

Author : Francesco Corea
Publisher : Springer
Page : 45 pages
File Size : 44,5 Mb
Release : 2017-01-11
Category : Technology & Engineering
ISBN : 9783319515502

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Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities by Francesco Corea Pdf

Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from today. Although AI can change our lives, it comes also with some responsibilities. We need to start thinking about how to properly design an AI engine for specific purposes, as well as how to control it (and perhaps switch it off if needed). And above all, we need to start trusting our technology, and its ability to reach an effective and smart decision.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publisher : Springer Nature
Page : 618 pages
File Size : 48,7 Mb
Release : 2019-11-19
Category : Technology & Engineering
ISBN : 9783030326449

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Recent Trends and Advances in Artificial Intelligence and Internet of Things by Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava Pdf

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Artificial Intelligence (AI)

Author : S. Kanimozhi Suguna,M. Dhivya,Sara Paiva
Publisher : CRC Press
Page : 331 pages
File Size : 45,9 Mb
Release : 2021-05-27
Category : Computers
ISBN : 9781000375527

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Artificial Intelligence (AI) by S. Kanimozhi Suguna,M. Dhivya,Sara Paiva Pdf

Addresses the complete functional framework workflow in Artificial Intelligence technology Explores basic and high-level concepts Based on the latest technologies covering the major challenges, issues, and advances in AI Discusses intelligent and automated system through AI and its implications to the real-world Presents data acquisition and case studies related to data-intensive technologies

New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

Author : Daniel H. de la Iglesia,Juan F. de Paz Santana,Alfonso J. López Rivero
Publisher : Springer Nature
Page : 371 pages
File Size : 40,5 Mb
Release : 2023-07-21
Category : Technology & Engineering
ISBN : 9783031383441

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New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence by Daniel H. de la Iglesia,Juan F. de Paz Santana,Alfonso J. López Rivero Pdf

This book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023). Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world.

Deploying Machine Learning

Author : Robbie Allen
Publisher : Addison-Wesley Professional
Page : 99998 pages
File Size : 41,9 Mb
Release : 2019-05
Category : Computers
ISBN : 0135226201

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Deploying Machine Learning by Robbie Allen Pdf

Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.

Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence

Author : De-Shuang Huang,Kang-Hyun Jo,Hong-Hee Lee,Hee-Jun Kang,Vitoantonio Bevilacqua
Publisher : Springer
Page : 1120 pages
File Size : 55,6 Mb
Release : 2009-09-19
Category : Computers
ISBN : 9783642040207

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Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence by De-Shuang Huang,Kang-Hyun Jo,Hong-Hee Lee,Hee-Jun Kang,Vitoantonio Bevilacqua Pdf

The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Advances in Emerging Trends and Technologies

Author : Miguel Botto-Tobar,Joffre León-Acurio,Angela Díaz Cadena,Práxedes Montiel Díaz
Publisher : Springer Nature
Page : 557 pages
File Size : 49,8 Mb
Release : 2019-10-12
Category : Technology & Engineering
ISBN : 9783030320225

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Advances in Emerging Trends and Technologies by Miguel Botto-Tobar,Joffre León-Acurio,Angela Díaz Cadena,Práxedes Montiel Díaz Pdf

This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Technology Trends Electronics Intelligent Systems Machine Vision Communication Security e-Learning e-Business e-Government and e-Participation

Emerging Trends in Disruptive Technology Management for Sustainable Development

Author : Rik Das,Mahua Banerjee,Sourav De
Publisher : CRC Press
Page : 77 pages
File Size : 54,8 Mb
Release : 2019-11-05
Category : Computers
ISBN : 9781000712056

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Emerging Trends in Disruptive Technology Management for Sustainable Development by Rik Das,Mahua Banerjee,Sourav De Pdf

Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times. Applications of Disruptive Technology in Management practices are an ever interesting domain for researchers and professionals. This volume entitled Emerging Trends in Disruptive Technology Management for Sustainable Development has attempted to collate five different interesting research approaches that have innovatively reflected diverse potential of disruptive trends in the era of 4th. Industrial Revolution. The uniqueness of the volume is going to cater the entrepreneurs and professionals in the domain of artificial intelligence, machine learning, deep learning etc. with its unique propositions in each of the chapters. The volume is surely going to be a significant source of knowledge and inspiration to those aspiring minds endeavouring to shape their futures in the area of applied research in machine learning and computer vision. The expertise and experiences of the contributing authors to this volume is encompassing different fields of proficiencies. This has set an excellent prelude to discover the correlation among multidisciplinary approaches of innovation. Covering a broad range of topics initiating from IoT based sustainable development to crowd sourcing concepts with a blend of applied machine learning approaches has made this volume a must read to inquisitive wits. Features Assorted approaches to interdisciplinary research using disruptive trends Focus on application of disruptive technology in technology management Focus on role of disruptive technology on sustainable development Promoting green IT with disruptive technology The book is meant to benefit several categories of students and researchers. At the students' level, this book can serve as a treatise/reference book for the special papers at the masters level aimed at inspiring possibly future researchers. Newly inducted PhD aspirants would also find the contents of this book useful as far as their compulsory course-works are concerned. At the researchers' level, those interested in interdisciplinary research would also be benefited from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to the faculties, existing research communities and new research aspirants from diverse disciplines of the concerned departments of premier institutes across the globe. This is expected to bring different research backgrounds (due to its cross platform characteristics) close to one another to form effective research groups all over the world. Above all, availability of the book should be ensured to as much universities and research institutes as possible through whatever graceful means it may be. Hope this volume will cater as a ready reference to your quest for diving deep into the ocean of technology management for 4th. Industrial Revolution.

New Trends in Technologies

Author : Er Meng Joo
Publisher : BoD – Books on Demand
Page : 452 pages
File Size : 52,6 Mb
Release : 2010-11-02
Category : Computers
ISBN : 9789533072135

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New Trends in Technologies by Er Meng Joo Pdf

The grandest accomplishments of engineering took place in the twentieth century. The widespread development and distribution of electricity and clean water, automobiles and airplanes, radio and television, spacecraft and lasers, antibiotics and medical imaging, computers and the Internet are just some of the highlights from a century in which engineering revolutionized and improved virtually every aspect of human life. In this book, the authors provide a glimpse of the new trends of technologies pertaining to control, management, computational intelligence and network systems.

Business Information Systems and Technology 4.0

Author : Rolf Dornberger
Publisher : Springer
Page : 288 pages
File Size : 46,9 Mb
Release : 2018-03-06
Category : Technology & Engineering
ISBN : 9783319743226

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Business Information Systems and Technology 4.0 by Rolf Dornberger Pdf

This book discusses digitalization trends and their concrete applications in business and societal contexts. It summarizes new findings from research, teaching and management activities comprising digital transformation, e-business, the representation of knowledge, human–computer interaction and business optimization. The trends discussed include artificial intelligence, virtual reality, robotics, blockchain, and many more. Professors and researchers who conduct research and teach at the interface between academia and business present the latest advances in their field. The book adopts the philosophy of applied sciences and combines both rigorous research and practical applications. As such, it addresses the needs of both professors and researchers, who are constantly seeking inspiration, and of managers seeking to tap the potential of the latest trends to take their business to the next level. Readers will find answers to pressing questions that arise in their daily work.

Machine Learning Applications

Author : Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy
Publisher : Walter de Gruyter GmbH & Co KG
Page : 153 pages
File Size : 40,8 Mb
Release : 2020-04-20
Category : Computers
ISBN : 9783110610987

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Machine Learning Applications by Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy Pdf

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.