New machine learning method predicts future data patterns to optimize data storage

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Researchers have developed a new machine-learning technique that helps computer systems predict future data patterns and optimize how information gets stored. They found these predictions could provide up to a 40% speed boost on real-world data sets.

In a paper, posted to the arXiv preprint server and presented as a spotlight at the Conference on Neural Information Processing Systems (NeurIPS) in December 2023, researchers from Carnegie Mellon University and Williams College shared that this new method could lead to significantly faster databases and more efficient data centers.
They discussed a common data structure called a list labeling array, …

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