Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
Intel Unveils FPGA to Accelerate Neural Networks
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Deep Learning in Mining Biological Data | SpringerLink
The Great Debate of AI Architecture | Engineering.com
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
Analog architectures for neural network acceleration based on non-volatile memory: Applied Physics Reviews: Vol 7, No 3
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
FPGA Based Deep Learning Accelerators Take on ASICs
Deep learning on mobile devices: a review
Are ASIC Chips The Future of AI?
Google AI Blog: Chip Design with Deep Reinforcement Learning
FPGA Based Deep Learning Accelerators Take on ASICs
