8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
ASIC Design Services | Microsemi
Google AI Blog: Chip Design with Deep Reinforcement Learning
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
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
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
Why ASICs Are Becoming So Widely Popular For AI
FPGA Based Deep Learning Accelerators Take on ASICs
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Review of ASIC accelerators for deep neural network - ScienceDirect
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
FPGA Based Deep Learning Accelerators Take on ASICs
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
Embedded Machine Learning
Review of ASIC accelerators for deep neural network - ScienceDirect
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
FPGA Based Deep Learning Accelerators Take on ASICs
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
