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1
Introduction
2
Overview
3
Classification
4
AI Chip in China
5
Complicant Instructions
6
Dataflow Processor
7
Kasia Architecture
8
Resource Utilization
9
Energy Efficiency
10
Multisparsity Compatible Commerce
11
Sparse FCS
12
Computing Memory
13
Diphoto Graph
14
Memory Architecture
15
Reconfigurable Architecture
16
Syncr2 Chip
17
Weak Kernel Decomposition
18
Overall Architecture
19
Neuromorphic Chip
20
Neuron Morphological Devices
21
Summary
22
Conclusion
Description:
Explore the landscape of AI chip innovation in China through this insightful conference talk from tinyML Asia 2020. Delve into the rapid growth of the Chinese AI chip market and its projected expansion. Examine the emergence of numerous start-up companies competing with international giants in specialized fields. Learn about the academic community's efforts to advance new AI chip technologies. Understand the limitations of traditional computing architectures and the potential of reconfigurable computing technology for flexible, energy-efficient AI solutions. Discover the ongoing research into highly parallel computing architectures with hardware reconfiguration capabilities. Gain insights into various AI chip designs, including dataflow processors, sparse architectures, neuromorphic chips, and reconfigurable systems. Analyze the challenges and opportunities in this evolving field, where innovation in both scientific research and industrial applications continues to thrive.

The Road to Innovation for AI Chips in China

tinyML
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