Artificial Intelligence and Machine Learning
It is now widely recognized that Artificial Intelligence (AI) and Machine Learning (ML) is a core component for scientific computing and has the potential to transform how experiments are conducted, how simulations are run and how data are analyzed. Brookhaven National Laboratory’s diverse scientific disciplines can potentially all benefit from the application of AI and ML while at the same time share many challenges.
As a multidisciplinary DOE lab, Brookhaven Lab operates several large experimental facilities which support a multitude of research areas, all of which can potentially benefit from the application of AI/ML, but at the same time may share many common challenges.As the AI/ML landscape is evolving rapidly, we want to leverage all recent techniques and development while bringing together the unique and diverse pool of knowledge present at Brookhaven Lab. To this end, we are forming the Brookhaven Lab AI/ML Working Group, and invite everyone who is interested to join.
Working Group Goals
The Brookhaven Lab AI/ML Working Group aims to be an active resource for uniting and sharing Lab-wide expertise to improve and extend how artificial intelligence and machine learning applications are applied in research, as well as to build consensus and determine best practices for engaging AI/ML capabilities throughout the laboratory campus.
The AI/ML Working Group is guided by a cross-lab Steering Committee that meets monthly to assess projects, evaluate potential collaborations, and plan new events. The Working Group’s efforts seek to reveal the shared challenges among varied science domains and identify the research gaps where AI/ML can offer unique routes to solutions or fill a knowledge/capability void.
Interested in joining or want to learn more about what is happening with the Brookhaven Lab AI/ML Working Group? Sign up for our mailing list.
There are no events scheduled at this time.