NANO-CHIPS 2030 : On-Chip AI for an Efficient Data-Driven World /
In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | The Frontiers Collection,
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- New Programs after the End of the Nanometer Roadmap
- Real-World Electronics
- Silicon Complementary MOS (CMOS) Technology in its 7th Decade
- The Future of Ultra-Low-Power SOTBC CMOS
- Energy-Efficient and High-Throughput Digital CMOS
- Update on Monolithic 3D Integration
- Heterogeneous 3D Integration
- 3D High-Speed Memories Enabling the AI Future
- Minimum Nano-Features with EUV Lithography
- Acquisition of Information
- Machine-Learning Inference
- Multi-Sensor, Intelligent Microsystems
- 3D for efficient, Application-Specific Circuits (ASICs and FPGAs)
- Field-Programmable Arrays
- Coarse-Grained Reconfigurable Architectures
- Graphics-Accelerators and -Processors
- 1,000x Improvement of the Processor-Memory Gap
- Supercomputers
- Deep Learning On-Chip
- Digital Neural Networks
- Brain-Inspired Spiking-Neurons Systems
- Energy-Autonomous Chip-Systems
- Wearable and Implanted Chips
- Electronics for the Human Visual System
- Subretinal Implants in their Third Decade
- Update on Perception-Inspired HDR Video
- High-Dynamic-Range and High-Color Gamut Video
- Augmented and Virtual Reality
- Machine-Learning for Robotics - Hardware Requirements for Care Robots
- Prospects of Quantum Computing
- Man-Machine Cooperation and Cognitronics.