From artificial intelligence to brain intelligence / Rajiv Joshi, Matthew Ziegler, Arvind Kumar, Eduard Alarcon, [editors]
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 miniaturi...
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Full Text (via Taylor & Francis) |
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| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Gistrup, Denmark :
River Publishers,
[2020]
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| Series: | Tutorials in circuits and systems.
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| Subjects: |
Table of Contents:
- Introduction 7 1. Research Directions in AI Algorithms and Systems 11 2. An Arm Perspective on Hardware Requirements and Challenges for AI 27 3. The New Era of AI Hardware 55 4. AI and the Opportunity for Unconventional Computing Platforms 67 5. Thermodynamic Computing 85 6. Brain-like Cognitive Engineering Systems 101 7. BRAINWAY and nano-Abacus Architecture: Brain-inspired Cognitive Computing Using Energy Efficient Physical Computational Structures, Algorithms and Architecture Co-Design 135 8. The Loihi Neuromorphic Research Chip 161 9. RRAM Fabric for Neuromorphic Computing Applications 175 About the Editors 191 About the Authors 199.