Review of ASIC accelerators for deep neural network - ScienceDirect
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
5 Emerging Technology Trends and 2018 Hype Cycle | Gartner
Embedded Hardware for Processing AI - ADLINK Blog
FPGA Based Deep Learning Accelerators Take on ASICs - The Next Platform
Power and throughput among CPU, GPU, FPGA, and ASIC. | Download Scientific Diagram
Why ASICs Are Becoming So Widely Popular For AI
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
The Deep Learning Inference Acceleration Blog Series — Part 2- Hardware | by Amnon Geifman | Towards Data Science
Applied Sciences | Free Full-Text | MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
AI 2.0 - Episode #1, Introduction | Cisco Tech Blog
Deep Learning
Intel's DLA: Neural Network Inference Accelerator [200]. | Download Scientific Diagram
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Arch-Net: A Family Of Neural Networks Built With Operators To Bridge The Gap Between Computer Architecture of ASIC Chips And Neural Network Model Architectures - MarkTechPost
Intel: The Industry's First Structured ASIC (SASIC) for 5G, AI, and the Edge Explosion - YouTube
![PDF] Efficient Processing of Deep Neural Networks | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/64cfc87ae10e5fe178ec7c6c268c0a02eb9202ff/50-Figure2.7-1.png "PDF] Efficient Processing of Deep Neural Networks | Semantic Scholar")
PDF] Efficient Processing of Deep Neural Networks | Semantic Scholar
Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2) | ignitarium.com
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Drilling Into Microsoft's BrainWave Soft Deep Learning Chip - The Next Platform
Deep Learning Has Hit a Wall, Intel's Rao Says
An on-chip photonic deep neural network for image classification | Nature
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
