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Neurorobotics Explores Machine Learning


Neurorobotics Explores Machine Learning
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Neurorobotics Explores Machine Learning


Neurorobotics Explores Machine Learning
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Author : Fei Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-20

Neurorobotics Explores Machine Learning written by Fei Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Science categories.




Neurorobotics


Neurorobotics
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Author : Tiffany J. Hwu
language : en
Publisher: MIT Press
Release Date : 2022-11-29

Neurorobotics written by Tiffany J. Hwu and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Technology & Engineering categories.


An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples.



Artificial Intelligence For Robotics


Artificial Intelligence For Robotics
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Author : Francis X. Govers
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-30

Artificial Intelligence For Robotics written by Francis X. Govers and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Computers categories.


Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.



Autonomous Robotics And Deep Learning


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.



Robust Artificial Intelligence For Neurorobotics


Robust Artificial Intelligence For Neurorobotics
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Author : Subramanian Ramamoorthy
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-31

Robust Artificial Intelligence For Neurorobotics written by Subramanian Ramamoorthy and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Science categories.




Algorithms Of Intelligence Exploring The World Of Machine Learning


Algorithms Of Intelligence Exploring The World Of Machine Learning
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Author : Dr R. Keerthika
language : en
Publisher: Inkbound Publishers
Release Date : 2022-01-20

Algorithms Of Intelligence Exploring The World Of Machine Learning written by Dr R. Keerthika and has been published by Inkbound Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-20 with Computers categories.


Delve into the fascinating world of machine learning with this comprehensive guide, which unpacks the algorithms driving today's intelligent systems. From foundational concepts to advanced applications, this book is essential for anyone looking to understand the mechanics behind AI.



Exploring Artificial Intelligence As A Field Of Study


Exploring Artificial Intelligence As A Field Of Study
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Author : Frye Dawn Henry
language : en
Publisher: Duchess Marketing Agency LLC
Release Date : 2024-06-08

Exploring Artificial Intelligence As A Field Of Study written by Frye Dawn Henry and has been published by Duchess Marketing Agency LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-08 with Technology & Engineering categories.


Dive into the fascinating world of artificial intelligence (AI) with "Exploring Artificial Intelligence as a Field of Study." This book is perfect for beginners and enthusiasts looking to understand the basics of AI and its incredible potential. From the history and evolution of AI to its various types and applications, this book breaks down complex concepts into easy-to-understand language. Learn how AI works, and explore machine learning, neural networks, and natural language processing. Discover how AI is transforming industries, enhancing everyday life, and what ethical considerations come into play. Whether you're a student, a professional, or just curious about AI, this book provides valuable insights to help you get started in or consider the exciting field of artificial intelligence. Embark on your AI journey today with this informative and engaging book!



Demystifying Artificial Intelligence


Demystifying Artificial Intelligence
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Author : Prashant Kikani
language : en
Publisher: BPB Publications
Release Date : 2021-01-05

Demystifying Artificial Intelligence written by Prashant Kikani and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-05 with Computers categories.


Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid



From Robots To Reasoning


From Robots To Reasoning
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Author : StoryBuddiesPlay
language : en
Publisher: StoryBuddiesPlay
Release Date : 2024-04-25

From Robots To Reasoning written by StoryBuddiesPlay and has been published by StoryBuddiesPlay this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-25 with Computers categories.


Unleash the Power of Artificial General Intelligence: Demystifying the Learning Landscape, Exploring Societal Impact, and Envisioning the Future Are you intrigued by the possibility of machines that can think and learn like humans? Dive into the captivating world of Artificial General Intelligence (AGI) with this comprehensive guide. This book unveils the different machine learning paradigms that hold the key to achieving AGI, explores the potential impact of AGI on society, and provides a glimpse into the exciting future that lies ahead. Demystifying the Learning Landscape: Embark on a journey through the diverse machine learning paradigms – supervised learning, unsupervised learning, and reinforcement learning – and grasp their unique strengths in empowering machines to learn from data. Delve into the fascinating world of Deep Learning, exploring the power of Artificial Neural Networks (ANNs) like Convolutional Neural Networks (CNNs) for image recognition, Recurrent Neural Networks (RNNs) for sequential data, and Generative Adversarial Networks (GANs) for data generation. Discover how Symbolic AI, with its focus on logic and knowledge representation, complements Deep Learning, paving the way for more robust and versatile intelligent systems. Exploring the Societal Impact: Uncover the potential benefits of AGI for scientific discovery, technological advancement, and revolutionizing various fields like medicine, materials science, and energy exploration. Consider the impact of AGI on the future of work, exploring the potential for job displacement alongside the emergence of new opportunities for human-machine collaboration. Grapple with the ethical considerations surrounding AGI, including ensuring fairness in decision-making, control and ownership of powerful AI systems, and developing robust frameworks for responsible AI development. Envisioning the Future: Explore the ongoing challenges in the quest for AGI, such as achieving true generality and the intriguing question of artificial consciousness. Witness the potential for AGI to collaborate with humans on complex endeavors, leading to breakthroughs in healthcare, sustainable energy, and environmental protection. Understand the importance of a multidisciplinary approach and international collaboration in navigating the ethical and societal implications of AGI. This book is your gateway to understanding AGI – its potential, its challenges, and its exciting possibilities for the future. Whether you're a student, a researcher, or simply curious about the future of artificial intelligence, this book equips you with the knowledge to engage in informed discussions and prepare for the transformative impact of AGI on our world.



Exploring Artificial Intelligence


Exploring Artificial Intelligence
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Author : Howard E. Shrobe
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-12

Exploring Artificial Intelligence written by Howard E. Shrobe and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.


Exploring Artificial Intelligence: Survey Talks from the National Conference on Artificial Intelligence provides information pertinent to the distinct subareas of artificial intelligence research. This book discusses developments in machine learning techniques. Organized into six parts encompassing 16 chapters, this book begins with an overview of intelligent tutoring systems, which describes how to guide a student to learn new concepts. This text then links closely with one of the concerns of intelligent tutoring systems, namely how to interact through the utilization of natural language. Other chapters consider the various aspects of natural language understanding and survey the huge body of work that tries to characterize heuristic search programs. This book discusses as well how computer programs can create plans to satisfy goals. The final chapter deals with computational facilities that support. This book is a valuable resource for cognitive scientists, psychologists, domain experts, computer scientists, instructional designers, expert teachers, and research workers.