Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives.

The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.

《神經網絡與腦部計算時代的人工智慧，第二版》展示了目前人工智慧的顛覆性影響和應用是神經網絡的獨特特性的發展，主要包括機器學習、分佈式架構、大規模並行處理、黑盒推理、內在非線性和智能自主搜索引擎。本書涵蓋了人工智慧背後的“類腦計算”的主要基本思想，提供了深度學習的框架，並提出了可能的未來替代方案的新穎而引人入勝的範式。

本書提出的觀點可以通過觀察所謂的計算智能、自然智能、腦部計算和神經工程之間成功的協同作用來解釋由谷歌、IBM、微軟、英特爾和亞馬遜等頂級行業領導者提出的基於人工智慧的商業產品的現有成功。本書的這一觀點為該領域的重大新進展提供了更新，包括許多新章節。