Are ASIC Chips The Future of AI?
The Great Debate of AI Architecture | Engineering.com
FPGA Based Deep Learning Accelerators Take on ASICs - The Next Platform
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
The Deep Learning Inference Acceleration Blog Series — Part 2- Hardware | by Amnon Geifman | Towards Data Science
Review of ASIC accelerators for deep neural network - ScienceDirect
Power and throughput among CPU, GPU, FPGA, and ASIC. | Download Scientific Diagram
Frontiers | Always-On Sub-Microwatt Spiking Neural Network Based on Spike-Driven Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device
Why ASICs Are Becoming So Widely Popular For AI
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
Embedded Hardware for Processing AI - ADLINK Blog
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Deep Learning
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
Are ASIC Chips The Future of AI?
GitHub - coleblackman/TIDENet: TIDENet is an ASIC written in Verilog for Tiny Image Detection at Edge with neural networks (TIDENet) using DNNWeaver 2.0, the Google SkyWater PDK, OpenLANE, and Caravel.
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
AI 2.0 - Episode #1, Introduction | Cisco Tech Blog
An on-chip photonic deep neural network for image classification | Nature
