Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
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
Why ASICs Are Becoming So Widely Popular For AI
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Google AI Blog: Chip Design with Deep Reinforcement Learning
Deep Learning in Mining Biological Data | SpringerLink
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Analog architectures for neural network acceleration based on non-volatile memory: Applied Physics Reviews: Vol 7, No 3
FPGA Based Deep Learning Accelerators Take on ASICs
The Great Debate of AI Architecture | Engineering.com
Review of ASIC accelerators for deep neural network - ScienceDirect
Review of ASIC accelerators for deep neural network - ScienceDirect
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
