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Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
2020 ANS Virtual Winter Meeting
November 16–19, 2020
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ANS members approve amendment adding YMG rep to board of directors
The American Nuclear Society will include a representative from the Young Members Group on its Board of Directors after ANS members voted this week overwhelmingly in favor of amending Article B6 of the ANS bylaws. The change was mandated by Objective Outcome 5 of the ANS Change Plan 2020.
To keep the number of directors at 16, the approved amendment decreased the number of non–U.S. resident directors from three to two.
Educational Session|Panel|Sponsored by Technology and Innovation
Tuesday, August 11, 2020|11:00AM–12:30PM (12:00–1:30PM EDT)
Adam Dow (Southern California Edison)
Greg Swain (Duke Energy)
This session focuses on the enablement of operational artificial intelligence at scale within the landscape of a broader utility digital transformation which focuses on advanced analytics, digital platform and mobile application development, and robotic process automation. As AI has evolved over the last couple of decades, the industry strategy has shifted from scattered and ambiguous capabilities to solutions that have (1) focused business value and use case, (2) design and control processes for AI-friendly data, (3) harnessing the utility enterprise resources to classify/tag images and data, (4) democratization of AI model low-code/no-code development, and (5) plug and play end-point device capabilities to leverage AI in the field. Discussions in this session will include the linkage of ML modeling to quantify risk and integrate into work management and decision-making processes, tactical AI algorithm development for object detection and condition assessments, and leveraging new forms of data (e.g. photogrammetry, LiDAR, etc.) across an exponentially increasing spectrum of structured, unstructured and streaming information.
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Presentation Slides — SCE - Kumar
Presentation Slides — SCE - Dow
Presentation Slides — Accenture -Revised
Presentation Slides — Beyond AI
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