VLab Forum Members,
Just a reminder that the Office of
Science and Technology Integration will conduct a seminar
next Monday, August 1st, at 12:00 PM (Eastern Time) titled
"Findings and future recommendations from a review of AI/ML
activity across the United States National Weather Service".
Dr. Paul Roebber will give the talk. If you would like to attend,
please sign up using the link below.
To participate in the seminar,
please register
for the webinar.
Abstract:
A report was commissioned to
summarize current AI/ML activity within the U.S. National Weather
Service with a view towards identifying existing obstacles and
recommending future directions. Although AI/ML activity is growing
quickly, this activity is fragmented and lacks the needed
infrastructure for improved coordination and efficiency of effort.
Current obstacles to future progress include: lack of workforce
training in artificial intelligence and machine learning, lack of
curated datasets and software that can be used for development and
evaluation of artificial intelligence/machine learning approaches,
absence of a centralized clearing house available to weather service
personnel for technical expertise/consultation, limited operational
compute resources, and lack of a clear end-to-end project pathway
that encompasses exploration, development, testbed/proving ground
and operational implementation.
Each of these limitations is
addressable. Partnering with the NOAA Center for Artificial
Intelligence to develop National Weather Service specific training
materials, using “learning journey” style materials, is of interest
to that group and would help address the current knowledge gap
within the weather service. The development of reference software
and datasets and the establishment of a consulting team to work on
specific projects with operational units will reduce siloed efforts
and enhance productivity. By establishing funding vehicles for
theme-based projects, and for which there is a sustainable pathway
from initial exploration all the way through operational
implementation, will help bridge the “valley of death” between
research and operations. Agent-based modeling capability with the
weather service is currently limited. Given NWS emphasis on
Impact-based Decision Support Services (IDSS), agent-based modeling
capability should be developed, since this approach can directly
link natural and human systems, and can reveal non-intuitive,
emergent properties of complex systems like decision support.
Collaboration with academic experts in this area, through the
above-mentioned sustainable funding pathways, can help to build this expertise.
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