Advances In Deep Learning Artificial Intelligence And Robotics
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Advances In Deep Learning Artificial Intelligence And Robotics
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Author : Luigi Troiano
language : en
Publisher: Springer Nature
Release Date : 2022-01-03
Advances In Deep Learning Artificial Intelligence And Robotics written by Luigi Troiano and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Technology & Engineering categories.
This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence.
Advances In Machine Learning Research And Application 2013 Edition
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Author :
language : en
Publisher: ScholarlyEditions
Release Date : 2013-06-21
Advances In Machine Learning Research And Application 2013 Edition written by and has been published by ScholarlyEditions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-21 with Computers categories.
Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Artificial Intelligence For Robotics And Autonomous Systems Applications
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Author : Ahmad Taher Azar
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Artificial Intelligence For Robotics And Autonomous Systems Applications written by Ahmad Taher Azar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.
Recent Advances In Robot Learning
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Author : Judy A. Franklin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Recent Advances In Robot Learning written by Judy A. Franklin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).
Advances In Artificial Intelligence Systems
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Author : V. Rajinikanth
language : en
Publisher:
Release Date : 2019-05-10
Advances In Artificial Intelligence Systems written by V. Rajinikanth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-10 with Artificial intelligence categories.
This book will help in fast decision making and solving complex real-world problems. In recent years, the fields of artificial intelligence along with nanotechnology, robotics and 3D printing have been referred to as the technologies of the future which will help mankind move towards a time of self-sustainability and development even in resource limited environments. Systems which mimic cognitive functions such as learning and problem solving, are referred to as intelligent systems. Such systems have the capability to think and act in times when expert procedures are required in real world scenarios. In recent years, the field of artificial intelligence has given rise to several branches such as swarm intelligence, machine learning and deep learning algorithms. Swarm intelligence systems mimic the intelligent behaviors of a group or a colony of organisms such as a swarm of bees or a school of fish, in which the individuals of the group collectively work together to reach a common goal. Recent artificial intelligence approaches such as deep learning techniques and swarm intelligence algorithms have been proved to be useful in the development of intelligent systems in a variety of fields such as medical and biological systems, process control, etc. This book discusses few applications of computational intelligence algorithms such as social group optimization, convolutional neural networks, firefly algorithm and non-dominated sorting in genetic algorithms. The purpose of this book is to bring multidisciplinary researchers together to discuss state-of-art applications of artificial intelligence.
Advances In Computational Vision And Robotics
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Author : George A. Tsihrintzis
language : en
Publisher: Springer Nature
Release Date : 2023-11-13
Advances In Computational Vision And Robotics written by George A. Tsihrintzis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with Technology & Engineering categories.
Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles from the following domain: i. Pattern recognition and Robotic Vision. ii. Artificial Intelligence and Deep Learning application. iii. Big Data Application in Robotics. iv. Deep Learning and Neural Network. Authors from the area of Particle Swarm Optimization, Defect Detection, Gesture Information Collection, Image Processing and Remote Sensing, Melody Recognition, Convolution Neural Network and Satellite Image processing etc. have contributed their research outcomes.
Artificial Intelligence
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-09-01
Artificial Intelligence written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science.
Advances In Artificial Intelligence And Data Engineering
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Author :
language : en
Publisher:
Release Date : 2021
Advances In Artificial Intelligence And Data Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.
This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.
Life Of Ai
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Author : William Krystal
language : en
Publisher: Independently Published
Release Date : 2020-06-10
Life Of Ai written by William Krystal and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-10 with categories.
About Life of Artificial Intelligence Life of Ai Book Offers a Comprehensive Artificial Intelligence Program that will help you work on today's cutting-edge technology - Artificial Intelligence (AI). As part of this best AI teaching, you will master various aspects of Data Science (DS), Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), Reinforcement Learning (RL), IOT (Internet of Things), Python for Artificial Intelligence, Robotics and much more.What will you learn in this Life of Ai Book?The main goal of this book is to familiarize you with all aspects of AI so that you can start your career as an artificial intelligence engineer. A few of the many topics/modules that you will learn in the program are: -Basics of Artificial Intelligence techniques-Data Science-Machine Learning -Natural Language Processing-Deep Learning-Reinforcement Learning-Internet of Things-Python for Artificial Intelligence-Robotics
Autonomous Robotics And Deep Learning
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Author : Vishnu Nath
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-04-11
Autonomous Robotics And Deep Learning written by Vishnu Nath and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-11 with Computers categories.
This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning.