How to Develop High-Performance Deep Neural Network Object Detection/Recognition Applications for FPGA-based Edge Devices - Embedded Computing Design
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
An on-chip photonic deep neural network for image classification | Nature
Arch-Net: A Family Of Neural Networks Built With Operators To Bridge The Gap Between Computer Architecture of ASIC Chips And Neural Network Model Architectures - MarkTechPost
Deep Neural Network ASICs The Ultimate Step-By-Step Guide eBook : Blokdyk, Gerardus: Amazon.in: Kindle Store
FPGA Based Deep Learning Accelerators Take on ASICs
FPGA Based Deep Learning Accelerators Take on ASICs
Deep Learning Accelerators Foundation IP| DesignWare IP| Synopsys
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
ASIC Design Services | Microsemi
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Intel Unveils FPGA to Accelerate Neural Networks
The Great Debate of AI Architecture | Engineering.com
Deep learning on mobile devices: a review
Are ASIC Chips The Future of AI?
Are ASIC Chips The Future of AI?
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
8-Bit Precision for Training Deep Learning Systems | IBM Research Blog
