Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
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
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Project Detail | Efabless
Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2) | ignitarium.com
FPGA Based Deep Learning Accelerators Take on ASICs
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Will ASIC Chips Become The Next Big Thing In AI? - Moor Insights & Strategy
FPGA Based Deep Learning Accelerators Take on ASICs
Are ASIC chips going to be the future of AI? | ASIC chips
Leveraging FPGAs for deep learning - Embedded.com
Eta's Ultra Low-Power Machine Learning Platform - EE Times
Are ASIC Chips The Future of AI?
Future Internet | Free Full-Text | An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
An on-chip photonic deep neural network for image classification | Nature
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
