FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
Intel Unveils FPGA to Accelerate Neural Networks
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Deep Neural Network ASICs The Ultimate Step-By-Step Guide eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Review of ASIC accelerators for deep neural network - ScienceDirect
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
Why ASICs Are Becoming So Widely Popular For AI
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
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
ASIC Design Services | Microsemi
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
An on-chip photonic deep neural network for image classification | Nature
Google AI Blog: Chip Design with Deep Reinforcement Learning
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
Deep learning on mobile devices: a review
Embedded Machine Learning
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
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
Deep Learning in Mining Biological Data | SpringerLink
How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Are ASIC Chips The Future of AI?
