The Great Debate of AI Architecture | Engineering.com
Review of ASIC accelerators for deep neural network - ScienceDirect
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
Deep Learning in Mining Biological Data | SpringerLink
Google AI Blog: Chip Design with Deep Reinforcement Learning
Are ASIC Chips The Future of AI?
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 eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
Deep learning on mobile devices: a review
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
FPGA Based Deep Learning Accelerators Take on ASICs
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Intel Unveils FPGA to Accelerate Neural Networks
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
Embedded Machine Learning
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
