Towards Human Brain Inspired Lifelong Learning

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Towards Human Brain Inspired Lifelong Learning

Author : Xiaoli Li
Publisher : World Scientific
ISBN 13 : 9811286728
Total Pages : 275 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Towards Human Brain Inspired Lifelong Learning by : Xiaoli Li

Download or read book Towards Human Brain Inspired Lifelong Learning written by Xiaoli Li and published by World Scientific. This book was released on 2024-04-11 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past few decades, the field of machine learning has made remarkable strides, surpassing human performance in tasks like voice and object recognition, as well as mastering various complex games. Despite these accomplishments, a critical challenge remains: the absence of general intelligence. Achieving artificial general intelligence (AGI) requires the development of learning agents that can continually adapt and learn throughout their existence, a concept known as lifelong learning.In contrast to machines, humans possess an extraordinary capacity for continuous learning throughout their lives. Drawing inspiration from human learning, there is immense potential to enable artificial learning agents to learn and adapt continuously. Recent advancements in continual learning research have opened up new avenues to pursue this objective.This book is a comprehensive compilation of diverse methods for continual learning, crafted by leading researchers in the field, along with their practical applications. These methods encompass various approaches, such as adapting existing paradigms like zero-shot learning and Bayesian learning, leveraging the flexibility of network architectures, and employing replay mechanisms to enable learning from streaming data without catastrophic forgetting of previously acquired knowledge.This book is tailored for researchers, practitioners, and PhD scholars working in the realm of Artificial Intelligence (AI). It particularly targets those envisioning the implementation of AI solutions in dynamic environments where data continually shifts, leading to challenges in maintaining model performance for streaming data.

Brain-Inspired Computing: From Neuroscience to Neuromorphic Electronics driving new forms of Artificial Intelligence

Author : Jonathan Mapelli
Publisher : Frontiers Media SA
ISBN 13 : 2889746089
Total Pages : 139 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Brain-Inspired Computing: From Neuroscience to Neuromorphic Electronics driving new forms of Artificial Intelligence by : Jonathan Mapelli

Download or read book Brain-Inspired Computing: From Neuroscience to Neuromorphic Electronics driving new forms of Artificial Intelligence written by Jonathan Mapelli and published by Frontiers Media SA. This book was released on 2022-03-08 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Lifelong Machine Learning, Second Edition

Author : Zhiyuan Sun
Publisher : Springer Nature
ISBN 13 : 3031015819
Total Pages : 187 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Lifelong Machine Learning, Second Edition by : Zhiyuan Sun

Download or read book Lifelong Machine Learning, Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

In Consciousness we Trust

Author : Hakwan Lau
Publisher : Oxford University Press
ISBN 13 : 0192598805
Total Pages : 241 pages
Book Rating : 4.1/5 (925 download)

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Book Synopsis In Consciousness we Trust by : Hakwan Lau

Download or read book In Consciousness we Trust written by Hakwan Lau and published by Oxford University Press. This book was released on 2022-02-10 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Consciousness We Trust is a synthesis of Hakwan Lau's 20-year research programme exploring the neuroscience of consciousness. Discussing studies from his own laboratory, Lau uses various neuroscience techniques to address challenging philosophical questions about the nature of our subjective experience. Considering the qualitative nature of subjective experience, the book reviews the current cognitive neuroscience literature on conscious perception, attention, and metacognition and puts forward a mechanistic account of experience through the context of personal journey. Chapters cover different major theoretical positions, to relate the nature of consciousness to relevant phenomena such as attention, metacognition, rational control, emotion, and sense of agency. This is a must-read for graduate students and researchers in cognitive neuroscience and philosophy, and an important contribution to the consciousness literature. This is an open access title available under the terms of a [CC BY-NC-ND 4.0 International] licence.

Artificial Intelligence and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer Nature
ISBN 13 : 3031425057
Total Pages : 609 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer Nature. This book was released on 2023-09-13 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 14125 and 14126 constitutes the refereed conference proceedings of the 22nd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2023, held in Zakopane, Poland, during June 18–22, 2023. The 84 revised full papers presented in these proceedings were carefully reviewed and selected from 175 submissions. The papers are organized in the following topical sections: Part I: Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation. Part II: Computer Vision, Image and Speech Analysis; Various Problems of Artificial Intelligence; Bioinformatics, Biometrics and Medical Applications; and Data Mining and Pateern Classification.

A Thousand Brains

Author : Jeff Hawkins
Publisher : Basic Books
ISBN 13 : 1541675800
Total Pages : 251 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis A Thousand Brains by : Jeff Hawkins

Download or read book A Thousand Brains written by Jeff Hawkins and published by Basic Books. This book was released on 2021-03-02 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021

Improving Scientific Communication for Lifelong Learners

Author : Kurubacak-Meric, Gulsun
Publisher : IGI Global
ISBN 13 : 1799845354
Total Pages : 288 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Improving Scientific Communication for Lifelong Learners by : Kurubacak-Meric, Gulsun

Download or read book Improving Scientific Communication for Lifelong Learners written by Kurubacak-Meric, Gulsun and published by IGI Global. This book was released on 2021-02-19 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific communication (Sci-Com) is a part of information science and the sociology of science that studies researchers' use of formal and informal information channels as well as their communicative roles. It also covers the utilization of the formal publication system and similar issues. Within the scientific community, much attention has focused on improving communications between scientists, policymakers, and the public. Sci-Com is an important area of research in meeting these needs. The use of communication methods to portray information clearly, concisely, and effectively, whether that be through presentations, writing, or other approaches, is an essential area of interest within the community. Improving Scientific Communication for Lifelong Learners seeks to improve scientific writing and speaking skills for lifelong learning researchers by developing an adaptive and responsive open and distance application according to universal design principles. The book will focus on the efforts that are centered on improving the content, substantiality, accessibility, and delivery of scientific communications, and to convey clear information to an audience, so its members can understand, use, and build on the information portrayed. The chapters highlight specific areas such as design thinking, distance learning, educational technologies, student success and motivation, and the design of educational environments and learning communities. This book is a valuable reference tool for teachers, academics, communication specialists, students, researchers, developers, and R&D professionals from various fields such as distance learning, online learning, accreditation, qualitative and quantitative research, transhumanism and learning, computer engineering, sociology, and more.

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Author : Nikola K. Kasabov
Publisher : Springer
ISBN 13 : 3662577151
Total Pages : 738 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence by : Nikola K. Kasabov

Download or read book Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence written by Nikola K. Kasabov and published by Springer. This book was released on 2018-08-29 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis

Author : Rong Chen
Publisher : Frontiers Media SA
ISBN 13 : 2889666832
Total Pages : 290 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis by : Rong Chen

Download or read book Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis written by Rong Chen and published by Frontiers Media SA. This book was released on 2021-04-16 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Systems and Applications

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3031160754
Total Pages : 859 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Intelligent Systems and Applications by : Kohei Arai

Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on 2022-08-31 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new directions and dimensions of future research work. We hope that readers find the volume interesting and valuable.

Training and Education in Neurosurgery: Strategies and challenges for the next ten years

Author : Cesare Zoia
Publisher : Frontiers Media SA
ISBN 13 : 2832500595
Total Pages : 132 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Training and Education in Neurosurgery: Strategies and challenges for the next ten years by : Cesare Zoia

Download or read book Training and Education in Neurosurgery: Strategies and challenges for the next ten years written by Cesare Zoia and published by Frontiers Media SA. This book was released on 2022-09-23 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

From Brain to Mind

Author : James E. Zull
Publisher : Taylor & Francis
ISBN 13 : 1000977471
Total Pages : 271 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis From Brain to Mind by : James E. Zull

Download or read book From Brain to Mind written by James E. Zull and published by Taylor & Francis. This book was released on 2023-07-03 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finalist for Foreword Magazine's 2011 Book of the YearWith his knack for making science intelligible for the layman, and his ability to illuminate scientific concepts through analogy and reference to personal experience, James Zull offers the reader an engrossing and coherent introduction to what neuroscience can tell us about cognitive development through experience, and its implications for education.Stating that educational change is underway and that the time is ripe to recognize that “the primary objective of education is to understand human learning” and that “all other objectives depend on achieving this understanding”, James Zull challenges the reader to focus on this purpose, first for her or himself, and then for those for whose learning they are responsible. The book is addressed to all learners and educators – to the reader as self-educator embarked on the journey of lifelong learning, to the reader as parent, and to readers who are educators in schools or university settings, as well as mentors and trainers in the workplace.In this work, James Zull presents cognitive development as a journey taken by the brain, from an organ of organized cells, blood vessels, and chemicals at birth, through its shaping by experience and environment into potentially to the most powerful and exquisite force in the universe, the human mind.Zull begins his journey with sensory-motor learning, and how that leads to discovery, and discovery to emotion. He then describes how deeper learning develops, how symbolic systems such as language and numbers emerge as tools for thought, how memory builds a knowledge base, and how memory is then used to create ideas and solve problems. Along the way he prompts us to think of new ways to shape educational experiences from early in life through adulthood, informed by the insight that metacognition lies at the root of all learning.At a time when we can expect to change jobs and careers frequently during our lifetime, when technology is changing society at break-neck speed, and we have instant access to almost infinite information and opinion, he argues that self-knowledge, awareness of how and why we think as we do, and the ability to adapt and learn, are critical to our survival as individuals; and that the transformation of education, in the light of all this and what neuroscience can tell us, is a key element in future development of healthy and productive societies.

The AGI Architecture Blueprint

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 87 pages
Book Rating : 4./5 ( download)

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Book Synopsis The AGI Architecture Blueprint by : StoryBuddiesPlay

Download or read book The AGI Architecture Blueprint written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-25 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of Artificial General Intelligence (AGI) with this comprehensive guide! Dive deep into the world of AGI, exploring its potential to revolutionize society, from scientific discovery to personalized education. But AGI isn't without its challenges. We'll delve into the ethical considerations and potential risks, ensuring responsible development for a beneficial future. Here's what you'll discover: The core principles of AGI: Understand the building blocks of human-level intelligence and how machines are learning to think like us. The cutting-edge advancements in AGI research: Explore the latest breakthroughs in deep learning, reinforcement learning, and other AI subfields that are pushing the boundaries of what's possible. The real-world applications of AGI: Imagine a world where AGI tackles climate change, assists in scientific research, and personalizes learning. We'll explore the transformative potential of AGI across various industries. The ethical considerations of AGI: Unveiling the potential risks of bias, lack of transparency, and safety concerns. We'll explore how to ensure responsible development and build trust between humans and AI. The future of human-AI collaboration: Discover how humans and AI can work together to achieve more. We'll explore the rise of human-AI partnerships and the exciting possibilities that lie ahead. Whether you're a tech enthusiast, a student, or a curious individual, this guide provides a roadmap to understanding AGI and its impact on our future. Join us on this exploration of artificial intelligence and prepare to be amazed by the potential of AGI to change the world for the better!

Computer Vision – ACCV 2020

Author : Hiroshi Ishikawa
Publisher : Springer Nature
ISBN 13 : 3030695387
Total Pages : 730 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computer Vision – ACCV 2020 by : Hiroshi Ishikawa

Download or read book Computer Vision – ACCV 2020 written by Hiroshi Ishikawa and published by Springer Nature. This book was released on 2021-02-24 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.

Learning to Learn

Author : Sebastian Thrun
Publisher : Springer Science & Business Media
ISBN 13 : 1461555299
Total Pages : 346 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Learning to Learn by : Sebastian Thrun

Download or read book Learning to Learn written by Sebastian Thrun and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.

Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms

Author : Chenwei Deng
Publisher : Frontiers Media SA
ISBN 13 : 2832521169
Total Pages : 223 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms by : Chenwei Deng

Download or read book Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms written by Chenwei Deng and published by Frontiers Media SA. This book was released on 2023-04-19 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Machine Learning

Author : Dr. Amit Kumar Tyagi
Publisher : BPB Publications
ISBN 13 : 9355516347
Total Pages : 612 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Advanced Machine Learning by : Dr. Amit Kumar Tyagi

Download or read book Advanced Machine Learning written by Dr. Amit Kumar Tyagi and published by BPB Publications. This book was released on 2024-06-29 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms. After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms. KEY FEATURES ● Basic understanding of machine learning algorithms via MATLAB, R, and Python. ● Inclusion of examples related to real-world problems, case studies, and questions related to futuristic technologies. ● Adding futuristic technologies related to machine learning and deep learning. WHAT YOU WILL LEARN ● Ability to tackle complex machine learning problems. ● Understanding of foundations, algorithms, ethical issues, and how to implement each learning algorithm for their own use/ with their data. ● Efficient data analysis for real-time data will be understood by researchers/ students. ● Using data analysis in near future topics and cutting-edge technologies. WHO THIS BOOK IS FOR This book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of machine learning algorithms. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Statistical Analysis 3. Linear Regression 4. Logistic Regression 5. Decision Trees 6. Random Forest 7. Rule-Based Classifiers 8. Naïve Bayesian Classifier 9. K-Nearest Neighbors Classifiers 10. Support Vector Machine 11. K-Means Clustering 12. Dimensionality Reduction 13. Association Rules Mining and FP Growth 14. Reinforcement Learning 15. Applications of ML Algorithms 16. Applications of Deep Learning 17. Advance Topics and Future Directions