This Research Paper Explain The Compute Trends Across Three Eras Of Machine Learning

The three essential components that determine the evolution of modern Machine Learning are computing, data, and algorithmic advancements (ML). The article looks at trends in the most easily quantifiable element. Before 2010, training computes expanded in lockstep with Moore's law, doubling every two years. Since the early 2010s, when Deep Learning was first introduced, the rate of training compute has quickened, roughly doubling every six months. Late in 2015, a new trend emerged.