Rapid identification of pathogenic viruses remains a critical challenge. A recent study advances this frontier by demonstrating a fully integrated memristor-based hardware system that accelerates genomic analysis by a factor of 51, while reducing energy consumption to just 0.2% of that required by conventional computational methods.
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Zhu, K., Lanza, M. Pioneering real-time genomic analysis by in-memory computing. Nat Comput Sci 5, 850–851 (2025). https://doi.org/10.1038/s43588-025-00883-w
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DOI: https://doi.org/10.1038/s43588-025-00883-w
