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Advanced filters: Author: Choon Ki Ahn Clear advanced filters

  • Choon Ki Ahn talks to Nature Reviews Electrical Engineering about research and education in Korea University’s School of Electrical Engineering, including work to advance physical artificial intelligence (AI) for autonomous systems by pioneering new control strategies and learning under uncertainty, to create machines that can operate independently and safely in dynamic, unpredictable and often adversarial real-world environments.

    • Choon Ki Ahn
    • Silvia Conti
    • Alison Wright
    Comments & Opinion
    Nature Reviews Electrical Engineering
    Volume: 2, P: 711-712

  • Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

    • Shimin Shuai
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12