Steve Blank Artificial Intelligence and Machine Learning– Explained
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Why ASICs Are Becoming So Widely Popular For AI
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
FPGA Based Deep Learning Accelerators Take on ASICs
FPGA Based Deep Learning Accelerators Take on ASICs
Eta's Ultra Low-Power Machine Learning Platform - EE Times
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
AI 2.0 - Episode #1, Introduction | Cisco Tech Blog
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
Project Detail | Efabless
Embedded Hardware for Processing AI - ADLINK Blog
FPGA Based Deep Learning Accelerators Take on ASICs
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
Future Internet | Free Full-Text | An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Deep Neural Network ASICs The Ultimate Step-By-Step Guide by Gerardus Blokdyk - Ebook | Scribd
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
Deep Learning part 4a: All about AI IPUs (ASICs) | by Sanjay Basu, PhD | my_aiml | Medium
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
