How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Intel Nervana Neural Network Processors (NNP), premiers ASICs conçus pour l'IA et le Deep Learning – DCmag
Are ASIC Chips The Future of AI?
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
A List of Chip/IP for Deep Learning | by Shan Tang | Medium
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
Why ASICs Are Becoming So Widely Popular For AI
FPGA Based Deep Learning Accelerators Take on ASICs
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
Google AI Blog: Chip Design with Deep Reinforcement Learning
Deep Learning Has Hit a Wall, Intel's Rao Says
Are ASIC chips going to be the future of AI? | ASIC chips
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
Comparison of neural network accelerators for FPGA, ASIC and GPU... | Download Scientific Diagram
