Name | Region | Skills | Interests |
---|---|---|---|
Andrew Pasquale | ACCESS CSSN, At-Large, CCMNet | ||
Alana Romanella | Campus Champions | ||
Kevin Brandt | Great Plains, CCMNet | ||
Kevin Brandt | Campus Champions, Great Plains, CCMNet | ||
Bala Desinghu | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
Deborah Penchoff | Campus Champions | ||
David Ryglicki | |||
Daniel Sierra-Sosa | Campus Champions | ||
Fan Chen | ACCESS CSSN | ||
Fernando Garzon | ACCESS CSSN | ||
Od Odbadrakh | ACCESS CSSN | ||
shuai liu | ACCESS CSSN | ||
Mohsen Ahmadkhani | CCMNet, ACCESS CSSN | ||
Maryam Taeb | |||
Neil McGlohon | CAREERS | ||
Paul Rulis | Campus Champions | ||
Rebecca Belshe | Campus Champions, CCMNet | ||
Grant Scott | Great Plains | ||
Shaohao Chen | Northeast | ||
William Lai | ACCESS CSSN |
Logo | Name | Description | Tags | Join |
---|---|---|---|---|
Jetstream-2 | Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… | Login to join | ||
Anvil | Purdue University is the home of Anvil, a powerful new supercomputer that provides advanced computing capabilities to support a wide range of computational and data-intensive research spanning from… | Login to join | ||
AI Institutes Cyberinfrastructure | Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. | Login to join |
Title | Category | Tags | Skill Level |
---|---|---|---|
A visual introduction to Gaussian Belief Propagation | Website | ai, machine-learning | Beginner, Intermediate |
Active inference textbook | Learning | ai, machine-learning, neural-networks | Beginner, Intermediate, Advanced |
AI for improved HPC research - Cursor and Termius - Powerpoint | Slides | documentation, ai, machine-learning, ssh, programming, programming-best-practices, python, terminal-emulation-and-window-management | Beginner, Intermediate |
The research focus is to apply the pre-training techniques of Large Language Models to the encoding process of the Code Search Project, to improve the existing model and develop a new code searching model. The assistant shall explore a transformer or equivalent model (such as GPT-3.5) with fine-tuning, which can help achieve state-of-the-art performance for NLP tasks. The research also aims to test and evaluate various state-of-the-art models to find the most promising ones.
South Dakota State University
Campus Champions, Great Plains, CCMNet
representative, research computing facilitator, Affinity Group Leader, CCMNet PM, CCMNet
Arizona State University
Campus Champions, CCMNet
research computing facilitator, CCMNet
Harvard University
ACCESS CSSN, Campus Champions, CAREERS, Northeast
mentor, researcher/educator, research computing facilitator, cssn, Consultant