C3.ai DTI, ECP & Superfacility Partners
The C3.ai Digital Transformation Institute is a research consortium dedicated to accelerating the benefits of artificial intelligence for business, government, and society. The Institute engages the world’s leading scientists to conduct research and train practitioners in the Science of Digital Transformation, which operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics.
The Exascale Computing Project (ECP) is focused on accelerating the delivery of a capable exascale computing ecosystem that delivers 50 times more computational science and data analytic application power than possible with current DOE HPC systems.
NERSC is collaborating ECP and C3.ai DTI to supply supercomputing and large data resources, along with other HPC technologies and expertise, to address COVID-19 related challenges.
A team of materials scientists at Berkeley Lab have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day. Read More »
Berkeley Lab researchers are developing a deep learning-based surrogate model for Epidemiology codes. They are running FluTE, a publicly available stochastic influenza epidemic simulation model, and Corvid, an agent-based SARS-CoV-2 (COVID 2019) transmission model, on Cori. Read More »
Detection and Containment of Emerging Diseases Using AI Techniques
Insights gained through Artificial Intelligence (AI)-based methods have great potential to help mitigate the effects of the CoVID-19 pandemic and other diseases. However, rapidly developing and validating these tools still remains a challenge. This team is addressing the issue by developing reliable algorithms for healthcare AI in response to emerging diseases. Read More »
NERSC & LCLS Team Up on SARS-CoV-2 Research
NERSC his working with scientists and staff at LCLS to enable real-time data analysis for two LCLS experiments looking at the structure of the SARS-CoV-2 virus. Read More »