Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
An on-chip photonic deep neural network for image classification | Nature
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
FPGA Based Deep Learning Accelerators Take on ASICs
FPGA chips are coming on fast in the race to accelerate AI | VentureBeat
Space-efficient optical computing with an integrated chip diffractive neural network | Nature Communications
A List of Chip/IP for Deep Learning | by Shan Tang | Medium
The Linley Group
Eta's Ultra Low-Power Machine Learning Platform - EE Times
Hardware for Deep Learning. Part 4: ASIC | by Grigory Sapunov | Intento
Blog: Aldec Blog - How to develop high-performance deep neural network object detection/recognition applications for FPGA-based edge devices - FirstEDA
Why ASICs Are Becoming So Widely Popular For AI
The Great Debate of AI Architecture | Engineering.com
FPGA Based Deep Learning Accelerators Take on ASICs
Will ASIC Chips Become The Next Big Thing In AI? - Moor Insights & Strategy
The New Deep Learning Memory Architectures You Should Know About — eSilicon Technical Article | ChipEstimate.com
Las enormes y correctas expectativas en la Analítica Aumentada - pickgeo.com
Análisis del “Hype Cycle for Emerging Technologies, 2018” de Gartner | indra
How to make your own deep learning accelerator chip! | by Manu Suryavansh | Towards Data Science
Convolutional Neural Network (CNN) processor design on VHDL/Verilog - YouTube
A Breakthrough in FPGA-Based Deep Learning Inference - EEWeb
