2026-02-19 パシフィック・ノースウェスト国立研究所(PNNL)
<関連情報>
- https://www.pnnl.gov/news-media/integrating-ai-biological-research
- https://www.genomicscience.energy.gov/wp-content/uploads/2026/01/ASCR-BER_Frontiers-in-AI-Workshop-Brochure.pdf
DOE科学局によるAIとコンピューティングのフロンティア構想に関するワークショップ
DOE Office of Science Workshop on Envisioning Frontiers in AI and Computing
2025-2-4～6 U.S. Department of Enagy(DOE) Office of Science
Advanced Scientific Computing Research
Biological and Environmental Research
Image courtesy of Argonne National Laboratory
Transforming Bioscience with Innovative AI/ML
In February of 2025 a joint ASCR/BER workshop was held to identify key transformational research directions for
understanding biology using artificial intelligence (AI), digital twins and high-performance (HPC) computational
methods to facilitate scientific discovery and innovation in support of the Department of Energy mission.
AI technologies offer exciting new groundbreaking methods to analyze large volumes of complex biological data,
thereby greatly accelerating the ability to understand, predict, and design biological processes for beneficial
purposes. In the laboratory, the bridging of AI-enabled automated experimental technologies, HPC and digital twins
will provide potent tools for researchers to explore the fundamental nature of biology and harness its inherent
metabolic potential for a variety of beneficial purposes. The focus of this workshop was on how high-performance
computational methods can impact this objective by exploring digital twins, foundational models, and data-driven
approaches with applications to advance automated laboratory experiments, modeling of complex living systems
and engineering new functions into plants and microbial systems relevant to DOE mission. Workshop attendees
with expertise in plant science, microbiology, mathematics, computer science, and AI assessed the current state
of the science, trends, and AI challenges at the interface of plant and microbial systems biology and computational
science to identify opportunities for high-impact research. This collaborative effort capitalized on ASCR’s
advancements in applied mathematics, computer science, and Exascale systems, and BER’s expertise in basic
genomics-enabled research on DOE relevant plant and microbial systems. The workshop culminated in four key
priority research directions to guide future research and development within DOE Office of Science programs.
