Machine Learning Augmented Reliable Flash Memory and Storage Systems

Ministry of Science and ICT (IITP) awards CAMEL for AI-augmented Flash-based storage for self-driving car research. Specifically, CAMEL will perform the research of machine-learning algorithms that recover all runtime and device faults observed in automobiles. As the reliability of storage devices has a significant impact on self-driving automobiles, self-governing algorithms and fault-tolerant hardware architecture are significantly important. Prof. Jung as a single PI will be supported by around $1.6 million USD to develop lightweight machine-learning algorithms, hardware automation technology, and computer architecture for reliable storage and self-driving automobiles.

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