Microsoft Research team behind Silica now looking to "rethink hot storage," with AI and machine learning

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Microsoft Research Cambridge is pioneering the next generation of cloud storage systems, moving beyond archival solutions. The team previously developed Project Silica, a long-lasting data storage method using laser-inscribed glass. Now, the focus is on 'hotter' data, leveraging recent advancements in AI and machine learning to enhance storage capabilities.

The initiative aims to address the growing demand for low-cost, sustainable storage in power-constrained data centers. By innovating at the media layer and rethinking how data is written and read, the project seeks to revolutionize online cloud data storage. This clean-slate design will also tackle traditional storage challenges like workload characterization and error management.

• Microsoft Research is rethinking cloud storage using AI and machine learning.

• Project Silica aims to innovate beyond archival storage solutions.

Key AI Terms Mentioned in this Article

Machine Learning

Recent advances in machine learning are being utilized to enhance cloud storage systems.

AI

The project leverages AI to rethink storage devices for online cloud data.

Data Storage

The focus is on innovating data storage techniques to meet modern demands.

Companies Mentioned in this Article

Microsoft

Microsoft is at the forefront of developing innovative storage solutions through its research initiatives.

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