Hardware for Deep Learning Inference: How to Choose the Best One for Your Scenario - Deci
Gartner – Hype Cycle for Artificial Intelligence | AllegroGraph
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Eta's Ultra Low-Power Machine Learning Platform - EE Times
FPGA chips are coming on fast in the race to accelerate AI | VentureBeat
Future Internet | Free Full-Text | An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
FPGA Based Deep Learning Accelerators Take on ASICs
FPGA Based Deep Learning Accelerators Take on ASICs
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
Steve Blank Artificial Intelligence and Machine Learning– Explained
Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge | Business Wire
ASIC Design Services | Microsemi
Are ASIC chips going to be the future of AI? | ASIC chips
Review of ASIC accelerators for deep neural network - ScienceDirect
Embedded Hardware for Processing AI - ADLINK Blog
Project Detail | Efabless
Why ASICs Are Becoming So Widely Popular For AI
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 - Embedded Computing Design
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
