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The Computational Intelligence and Machine Learning Portal is an international multi-university initiative supported by the National Science Foundation. Its primary purpose is to help facilitate a virtual scientific community infrastructure for all those involved with, or interested in, Computational Intelligence and Machine Learning.

Overview
The Computational Intelligence and Machine Learning (CIML) portal was created to facilitate an online virtual scientific community wherein anyone interested in CIML can share research, obtain resources, or simply learn more. The formal pursuit of a CIML portal began in 2008 with a grant from the National Science Foundation. The effort is currently lead by its primary investigator Dr. Jacek Zurada with a board of directors consisting of 25 researchers from 13 different countries.

The ultimate goal of the CIML virtual community is to accommodate and cater to a broad range of users, including experts, students, the public, and outside researchers interested in using CIML methods and software tools. Each community member and user will be guided through the portal resources and tools based on their respective CIML experience (e.g. expert, student, outside researcher) and goals (e.g. collaboration, education). A preliminary version of the community’s portal, with limited capabilities, is now operational and available for users. All electronic resources on the portal are peer reviewed to ensure high quality and cite-ability for literature.