Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
FPGA Based Deep Learning Accelerators Take on ASICs
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
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 Based Deep Learning Accelerators Take on ASICs
Are ASIC Chips The Future of AI?
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
How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - Blog - Company - Aldec
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
An on-chip photonic deep neural network for image classification | Nature
Embedded deep learning creates new possibilities across disparate industries | Vision Systems Design
Intel Unveils FPGA to Accelerate Neural Networks
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
My take on the Gartner Hype Cycle | by Jens Møllerhøj | Medium
ASIC Design Services | Microsemi
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
The Great Debate of AI Architecture | Engineering.com
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
