DOE National Laboratories Fight COVID-19 with Advanced Artificial Intelligence
DOE National Laboratories Fight COVID-19 with Advanced Artificial Intelligence
All 17 Department of Energy (DOE) National Laboratories are using their resources to aid in the fight against COVID-19 over the past few months. Argonne National Laboratory in Illinois, Oak Ridge National Laboratory in Tennessee, and Sandia National Laboratory in New Mexico have been working to better understand and stop further spread of the virus. Argonne National Lab has added a new “AI supercomputer” to the efforts of the High Performance Computing Consortium working to support COVID-19 research, Oak Ridge is addressing supply chain challenges to testing swab production, and Sandia National Lab is using genetic sequencing tools to develop countermeasures to the virus.
7 of DOE’s 17 National Laboratories are working with the High Performance Computing Consortium to bring together the Federal government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of COVID-19 research. The new supercomputer, the DGX A100, is the fastest AI supercomputer being used by the consortium and has been in operation since May 9. It can screen an unprecedented 1 billion small molecule drugs a day with the hope that one will be able to be considered for use against the coronavirus.
DOE has also recently highlighted its non-COVID related AI advancements. In particular, the department has begun using sophisticated machine learning algorithms to better understand how lithium-ion batteries degrades with use.
ASME will continue to monitor and report on how the Department of Energy is using AI to further its mission.
7 of DOE’s 17 National Laboratories are working with the High Performance Computing Consortium to bring together the Federal government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of COVID-19 research. The new supercomputer, the DGX A100, is the fastest AI supercomputer being used by the consortium and has been in operation since May 9. It can screen an unprecedented 1 billion small molecule drugs a day with the hope that one will be able to be considered for use against the coronavirus.
DOE has also recently highlighted its non-COVID related AI advancements. In particular, the department has begun using sophisticated machine learning algorithms to better understand how lithium-ion batteries degrades with use.
ASME will continue to monitor and report on how the Department of Energy is using AI to further its mission.
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