Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
Intel Unveils FPGA to Accelerate Neural Networks
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Deep learning on mobile devices: a review
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Deep Neural Network ASICs The Ultimate Step-By-Step Guide eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
The Great Debate of AI Architecture | Engineering.com
Review of ASIC accelerators for deep neural network - ScienceDirect
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
Google AI Blog: Chip Design with Deep Reinforcement Learning
An on-chip photonic deep neural network for image classification | Nature
Deep Learning in Mining Biological Data | SpringerLink
Are ASIC Chips The Future of AI?
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
FPGA Based Deep Learning Accelerators Take on ASICs
FPGA Based Deep Learning Accelerators Take on ASICs
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
