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
The Great Debate of AI Architecture | Engineering.com
AI 2.0 - Episode #1, Introduction | Cisco Tech Blog
Project Detail | Efabless
Embedded Hardware for Processing AI - ADLINK Blog
GitHub - coleblackman/TIDENet: TIDENet is an ASIC written in Verilog for Tiny Image Detection at Edge with neural networks (TIDENet) using DNNWeaver 2.0, the Google SkyWater PDK, OpenLANE, and Caravel.
Will ASIC Chips Become The Next Big Thing In AI? - Moor Insights & Strategy
Intel Nervana Neural Network Processors (NNP), premiers ASICs conçus pour l'IA et le Deep Learning – DCmag
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
FPGA Based Deep Learning Accelerators Take on ASICs
Are ASIC Chips The Future of AI?
Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2) | ignitarium.com
FPGA Based Deep Learning Accelerators Take on ASICs
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
Deep Learning
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Understanding the Deployment of Deep Learning algorithms on Embedded Platforms
Deep Neural Network ASICs The Ultimate Step-By-Step Guide eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
Intel's DLA: Neural Network Inference Accelerator [200]. | Download Scientific Diagram
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Eta's Ultra Low-Power Machine Learning Platform - EE Times
