REVIEWS
Auto Resonance Networks
Introduction
ARN on Graphs
ARN for Image classification
ARN for Time Series
Processor Design for AI
Serial Vs Parallel Designs
Biomedical Image Processing
Embryo Classification
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Auto Resonance Network - Introduction
ARN is a type of artificial neural network derived from the working of musculo-skeletal system of vertibrates. The neurons in ARN can tune their coverage on inputs to which they can respond by producing a high output. They represent an analog approximation network with limited output but adjustable input range. They have been used for robotic motion planning, image processing and time series analysis.
We see ARN as possible a candidate for Artificial General Intelligence, the holy grail of computing.
