Pipe down: Preventing pipeline degradation using analytics

by Kristín Ólafs | Jan 22, 2020 | News

Yongming Liu and his team are working to develop a computer vision-based inspection tool that uses deep learning methods to provide real-time automated pipeline anomaly detection.

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SEMTE News

  • Seth Ariel Tongay named Royal Society of Chemistry Fellow
  • Eileen Seo to tackle materials’ sustainability with DOE’s Early Career Research Award
  • Discovering new materials using AI and machine learning
  • Defying materials research limitations
  • Bending the rules: ASU students spearhead graphene-metal inventions
  • Setting sail on a new era of AI innovations

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