Convolutional Neural Network (CNN) processor design on VHDL/Verilog - YouTube
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
Eta's Ultra Low-Power Machine Learning Platform - EE Times
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Comparison of neural network accelerators for FPGA, ASIC and GPU... | Download Scientific Diagram
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Future Internet | Free Full-Text | An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
The Linley Group
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
Análisis del “Hype Cycle for Emerging Technologies, 2018” de Gartner | indra
FPGA Based Deep Learning Accelerators Take on ASICs
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
An on-chip photonic deep neural network for image classification | Nature
A List of Chip/IP for Deep Learning | by Shan Tang | Medium
Will ASIC Chips Become The Next Big Thing In AI? - Moor Insights & Strategy
Buy Deep Neural Network ASICs The Ultimate Step-By-Step Guide Book Online at Low Prices in India | Deep Neural Network ASICs The Ultimate Step-By-Step Guide Reviews & Ratings - Amazon.in
Why ASICs Are Becoming So Widely Popular For AI
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
Deep Neural Network ASICs Market Size, Share, Growth, Industry Forecast till 2030
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
Are ASIC chips going to be the future of AI? | ASIC chips
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
