FPGA Based Deep Learning Accelerators Take on ASICs
Why ASICs Are Becoming So Widely Popular For AI
Are ASIC Chips The Future of AI?
Deep Learning in Mining Biological Data | SpringerLink
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Intel Unveils FPGA to Accelerate Neural Networks
Google AI Blog: Chip Design with Deep Reinforcement Learning
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
An on-chip photonic deep neural network for image classification | Nature
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
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
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
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Deep Neural Network ASICs The Ultimate Step-By-Step Guide eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
ASIC Design Services | Microsemi
Review of ASIC accelerators for deep neural network - ScienceDirect
The Great Debate of AI Architecture | Engineering.com
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
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
