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An Assessment of Selected Divisions of the Information Technology Laboratory at the National Institute of Standards and Technology Fiscal Year 2021 (2021) / Chapter Skim
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Pages 1-3

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From page 1...
... Each panel will deliberate findings in closed session panel meetings and will prepare a separate report summarizing its assessment findings. The Panel on Assessment of Selected Divisions of the Information Technology Laboratory at the National Institute of Standards and Technology will review the following divisions of the NIST Information Technology Laboratory: Information Access, Software and Systems, and Statistical Engineering.
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From page 2...
... Amidst continuing technological and societal changes, there are opportunities for increased collaborations across projects to address common challenges in such areas as artificial intelligence, machine learning, health information technology, data science, and statistical methodology. Trustworthy AI is an open problem.
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From page 3...
... This is particularly the case for the growing number of projects that involve state-of-the-art machine learning models, which call for ever larger training sets and computational resources. RECOMMENDATION: ITL should take steps to insure adequate resources, especially computing to support AI/ML and data science at sufficient scale.
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Key Terms

  • data science
  • nist staff
  • statistical engineering
  • machine learning
  • nist facilities

  • nist director
  • information access
  • panel met
  • selected divisions
  • artificial intelligence

  • closed session
  • work performed
  • report summarizing
  • nist information
  • nist laboratory

  • nist management
  • acting nist
  • respective nist
  • nist projects
  • nist domestic

  • technical work
  • staffing technical
  • review technical
  • panel received
  • restricted information

  • technical program
  • session panel
  • health information
  • engineering division
  • plenary session


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