What will researchers get from IIAI if their colleges participate in IIAI?

Draft text summarizing IIAI's vision of services provided to UI researchers.

1. AI/Machine Learning environment
   1. Access to a well-designed and well-maintained deep learning/GPU/AI environment
      1. Engineering Computing Services in charge with a staff person being hired to fulfill this role
      2. Environment will
         1. include well-tested instructions for users
         2. only allow access to users who passed entry-level user tests
         3. operate based on a well-developed use policy
      3. Environment will allow
         1. Development of applications and initial testing in IIAI development labs
         2. Access to staging storage space for AI development, well organized with group access for research teams
         3. Relatively seamless transition to run production-level jobs on the Argon HPC 
   2. Access to state-of-the-art, cutting-edge environment
      1. Environment will be kept at the forefront of technology
      2. Computational upgrades will be financed from these resources
   3. Scalable environment of sufficient capacity
      1. As the use need will grow, we will have resources to respond to this growth quickly and operatively, also in a location-specific manner
   4. AI/GPU-enabled Argon HPC environment will be kept at the sufficient capacity and performance level
      1. achieved by collaboration with ITS
      2. partly funded by ITS directly, partly from the IIAI financial contributions from colleges
2. Access to problem-solving expertise
   1. Space in CoE available to hold such research-problem specific consultations
   2. Staff members will be available to
      1. discuss the problem
      2. state the problem in well-defined terms suitable for applying AI approaches
      3. discuss needs for training/evaluation/testing data
      4. propose a solution strategy
      5. help with obtaining pilot results
      6. help with writing a research proposal = writing the AI piece of a proposal (assumes that the staff member will become part of the proposal team with identified relevant % effort)
   3. Optimally, these staff members will be established researchers in this area with % effort to spend on this endeavor
      1. may be postdocs partly paid from research projects, partly from IIAI
      2. may be faculty partly supported from IIAI
      3. may be faculty who invest in such activities  simply to become part of the research proposal team
      4. will likely be a mix of the above
3. Education for users
   1. Short courses will be developed and offered to existing and prospective users
   2. Some will be topic/environment-specific
   3. Others will be general and possibly offered in collaboration with UI3
   4. These courses need to be developed – developers will be paid from the available resources
   5. CoE GPU-enabled classroom will be available for user education activities when not used for CoE courses