FPGA Based Deep Learning Accelerators Take on ASICs
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Are ASIC Chips The Future of AI?
Are ASIC Chips The Future of AI?
Intel Unveils FPGA to Accelerate Neural Networks
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
Deep Learning in Mining Biological Data | SpringerLink
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Review of ASIC accelerators for deep neural network - ScienceDirect
Google AI Blog: Chip Design with Deep Reinforcement Learning
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
The Great Debate of AI Architecture | Engineering.com
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
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
Why ASICs Are Becoming So Widely Popular For AI
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Deep learning on mobile devices: a review
Deep Neural Network ASICs The Ultimate Step-By-Step Guide eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
FPGA Based Deep Learning Accelerators Take on ASICs
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Analog architectures for neural network acceleration based on non-volatile memory: Applied Physics Reviews: Vol 7, No 3
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
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
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
