From artificial intelligence to brain intelligence / Rajiv Joshi, [and three others].

Format:

Book

Author/Creator:

Joshi, Rajiv, author.

Series:

Tutorials in Circuits and Systems

Language:

English

Subjects (All):

Artificial intelligence--Congresses.

Artificial intelligence.

Physical Description:

1 online resource (209 pages)

Edition:

1st ed.

Place of Publication:

Gistrup, Denmark : River Publishers, [2020]

Summary:

The field of AI is not new to researchers, as its foundations were established in the 1950s. After many decades of inattention, there has been a dramatic resurgence of interest in AI, fueled by a confluence of several factors. The benefits of decades of Dennard scaling and Moore's law miniaturization, coupled with the rise of highly distributed processing, have led to massively parallel systems well suited for handling big data. The widespread availability of big data, necessary for training AI algorithms, is another important factor. Finally, the greatly increased compute power and memory bandwidths have enabled deeper networks and new algorithms capable ofaccuracy rivaling that of human perception.

Contents:

Cover

Title

Copyright

Series

Table of contents

Introduction

1. Research Directions in Al Algorithms and Systems

2. An Arm Perspective on Hardware Requirements and Challenges for Al

3. The New Era of Al Hardware

4. Al and the Opportunity for Unconventional Computing Platforms

5. Thermodynamic Computing

6. Brain-like Cognitive Engineering Systems

7. BRAINWAY and nano-Abacus Architecture: Brain-inspired Cognitive Computing Using Energy Efficient Physical Computational Structures, Algorithms and Architecture Co-Design

8. The Loihi Neuromorphic Research Chip

9. RRAM Fabric for Neuromorphic Computing Applications

About the Editors

About the Authors.

Notes:

Description based on print version record.

ISBN:

1-00-333821-6

1-000-79582-9

1-000-79250-1

1-003-33821-6

1-5231-3879-3

87-7022-124-3

9781003338215

OCLC:

1257819322