Towards Human Brain Inspired Lifelong Leaing

by: Xiaoli Li (Editor),Savitha Ramasamy(Editor),Arulmurugan Ambikapathi(Editor),Suresh Sundaram(Editor),Haytham M Fayek(Editor)

Publisher: World Scientific Publishing Company

Publication Date: May 2, 2024

Language: English

Print Length: 276 pages

ISBN-10: 9811286701

ISBN-13: 9789811286704

Book Description

Over the past few decades, the field of machine leaing 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 leaing agents that can continually adapt and lea throughout their existence, a concept known as lifelong leaing.In contrast to machines, humans possess an extraordinary capacity for continuous leaing throughout their lives. Drawing inspiration from human leaing, there is immense potential to enable artificial leaing agents to lea and adapt continuously. Recent advancements in continual leaing research have opened up new avenues to pursue this objective.This book is a comprehensive compilation of diverse methods for continual leaing, 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 leaing and Bayesian leaing, leveraging the flexibility of network architectures, and employing replay mechanisms to enable leaing 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.
Over the past few decades, the field of machine leaing 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 leaing agents that can continually adapt and lea throughout their existence, a concept known as lifelong leaing.In contrast to machines, humans possess an extraordinary capacity for continuous leaing throughout their lives. Drawing inspiration from human leaing, there is immense potential to enable artificial leaing agents to lea and adapt continuously. Recent advancements in continual leaing research have opened up new avenues to pursue this objective.This book is a comprehensive compilation of diverse methods for continual leaing, 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 leaing and Bayesian leaing, leveraging the flexibility of network architectures, and employing replay mechanisms to enable leaing 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.