The Linley Group
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
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
Análisis del “Hype Cycle for Emerging Technologies, 2018” de Gartner | indra
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
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
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
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
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
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
Will ASIC Chips Become The Next Big Thing In AI? - Moor Insights & Strategy
Future Internet | Free Full-Text | An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
An on-chip photonic deep neural network for image classification | Nature
The Great Debate of AI Architecture | Engineering.com
Comparison of neural network accelerators for FPGA, ASIC and GPU... | Download Scientific Diagram
Deep Neural Network ASICs Market Size, Share, Growth, Industry Forecast till 2030
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 - Embedded Computing Design
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
FPGA Based Deep Learning Accelerators Take on ASICs
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
