How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
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
Are ASIC Chips The Future of AI?
Deep Learning in Mining Biological Data | SpringerLink
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Review of ASIC accelerators for deep neural network - ScienceDirect
FPGA Based Deep Learning Accelerators Take on ASICs
An on-chip photonic deep neural network for image classification | Nature
Review of ASIC accelerators for deep neural network - ScienceDirect
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
Deep learning on mobile devices: a review
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
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
Why ASICs Are Becoming So Widely Popular For AI
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
FPGA Based Deep Learning Accelerators Take on ASICs
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
Analog architectures for neural network acceleration based on non-volatile memory: Applied Physics Reviews: Vol 7, No 3
