The Case for Learned Index Structures is the title of a recent article on how using neural network it is possible to create a faster and more efficient way to store and retrieve data.
That’s a case where Neural Networks can improve and change the established field of Data Structures and Algorithms. A great step forward for computer science and machine learning.
More on the paper:
The Case for Learned Index StructuresTim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
(Submitted on 4 Dec 2017 (v1), last revised 11 Dec 2017 (this version, v2))