Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives

Computer Science

• Neural Network 100%
• Quantization 40%
• Compression Technique 40%
• Machine Learning 20%
• Network Design 20%
• Hardware Implementation 20%
• Hardware Resource 20%
• Design Perspective 20%
• Privacy Concern 20%
• Neural Network Application 20%
• Learning Network 20%
• Von Neumann Architecture 20%
• Data Privacy 20%
• Energy Consumption 20%
• Computational Resource 20%
• Memory Footprint 20%
• Design Requirement 20%

Keyphrases

• Neural Network States 100%
• Neural Network Design 20%
• Neural Network Hardware 20%
• Data Privacy Concerns 20%