Gartner - What trends will dominate this year's #AI landscape? Take a look at Gartner's Hype Cycle for AI, 2021 to find out: https://gtnr.it/3nY2QbC #GartnerSYM | Facebook
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
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
Why ASICs Are Becoming So Widely Popular For AI
Will ASIC Chips Become The Next Big Thing In AI? - Moor Insights & Strategy
Buy Deep Neural Network ASICs The Ultimate Step-By-Step Guide Book Online at Low Prices in India | Deep Neural Network ASICs The Ultimate Step-By-Step Guide Reviews & Ratings - Amazon.in
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
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
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
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
Convolutional Neural Network (CNN) processor design on VHDL/Verilog - YouTube
