How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
Autonomous Vehicles Drive AI Chip Innovation - Edge AI and Vision Alliance
Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2) | ignitarium.com
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Understanding the Deployment of Deep Learning algorithms on Embedded Platforms
Are ASIC Chips The Future of AI?
Leveraging FPGAs for deep learning - Embedded.com
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
Project Detail | Efabless
The Great Debate of AI Architecture | Engineering.com
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
Embedded Hardware for Processing AI - ADLINK Blog
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
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
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
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
FPGA Based Deep Learning Accelerators Take on ASICs
Comparison of neural network accelerators for FPGA, ASIC and GPU... | Download Scientific Diagram
Mipsology Zebra on Xilinx FPGA Beats GPUs, ASICs for ML Inference Efficiency - Embedded Computing Design
