In the modern era, there has been explosive growth in the demand for computing power for cognitive image and video processing. While convolutional neural networks offer improved performance for image processing, they also come with a significant increase in power consumption and memory requirements.
According to a survey conducted by OpenAI, the period between 2012 and 2018 witnessed a staggering increase in the number of computations by a factor larger than 300,000. In contrast, during the same period, Moore’s law only accounted for a seven-fold increase in computational power.
