Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
Are ASIC Chips The Future of AI?
Deep Learning
Slides24
FPGA Based Deep Learning Accelerators Take on ASICs - The Next Platform
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
Embedded Hardware for Processing AI - ADLINK Blog
An on-chip photonic deep neural network for image classification | Nature
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
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. Part 4: ASIC | by Grigory Sapunov | Intento
FPGA Based Deep Learning Accelerators Take on ASICs - The Next Platform
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: Gerardus Blokdyk: 9780655403975: Textbooks: Amazon Canada
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
Webinar: ASICs Unlock Deep Learning Innovation - SemiWiki
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
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.
Applied Sciences | Free Full-Text | MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms
