MIT professor Christina Delimitrou is leveraging machine learning to improve the efficiency of data centers, which are currently consuming excessive power and contributing to fossil fuel reliance. Her research focuses on optimizing resource utilization and redesigning cloud computing systems to extract more performance from existing hardware, addressing a significant problem where data centers often operate at only 15% capacity. This work has led to tools like Seer, which proactively prevents application slowdowns, and Ditto, which allows for the study of proprietary systems, suggesting a future focus on interpretable AI and auditing machine learning applications.
Read the full article at MIT News - Machine learning
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