DeepMind researchers, in their recent work, have investigated the parallels between neuroscience and neural networks. Though the comparison between human neurons and human-made neurons have become obsolete for its exaggerations, researchers are now trying to reverse engineer the process and enhance the way machines are acquiring the reasoning capabilities. DeepMind's latest paper titled "MEMO: A Deep Network for Flexible Combination of Episodic Memories" introduced an architecture that is capable of reasoning over longer distances. This was accomplished by adding separation between stored memories and facts, and the items that comprise these facts in external memory, by making use of an adaptive retrieval mechanism, which allowed a variable number of'memory hops' before the answer is produced. The primary objective of this new network was to reason out if it has to continue computing or it has already got the answer for the query.