Gartner – Hype Cycle for Artificial Intelligence | AllegroGraph
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Embedded Hardware for Processing AI - ADLINK Blog
FPGA Based Deep Learning Accelerators Take on ASICs
Are ASIC Chips The Future of AI?
Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
Designing With ASICs for Machine Learning in Embedded Systems | NWES Blog
Deep Learning part 4a: All about AI IPUs (ASICs) | by Sanjay Basu, PhD | my_aiml | Medium
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
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
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
Applied Sciences | Free Full-Text | MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms
An on-chip photonic deep neural network for image classification | Nature
Eta's Ultra Low-Power Machine Learning Platform - EE Times
Why ASICs Are Becoming So Widely Popular For AI
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2) | ignitarium.com
Comparison of neural network accelerators for FPGA, ASIC and GPU... | Download Scientific Diagram
Future Internet | Free Full-Text | An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
FPGA chips are coming on fast in the race to accelerate AI | VentureBeat
Steve Blank Artificial Intelligence and Machine Learning– Explained
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
AI 2.0 - Episode #1, Introduction | Cisco Tech Blog
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
