ASIC Design Services | Microsemi
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
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
The Great Debate of AI Architecture | Engineering.com
FPGA Based Deep Learning Accelerators Take on ASICs
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Analog architectures for neural network acceleration based on non-volatile memory: Applied Physics Reviews: Vol 7, No 3
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
Intel Unveils FPGA to Accelerate Neural Networks
Deep learning on mobile devices: a review
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
Review of ASIC accelerators for deep neural network - ScienceDirect
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
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
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
Deep Learning in Mining Biological Data | SpringerLink
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Embedded Machine Learning
