Name | Region | Skills | Interests |
---|---|---|---|
Alana Romanella | Campus Champions | ||
Kevin Brandt | Campus Champions, Great Plains | ||
Balamurugan Desinghu | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
Daniel Howard | RMACC, Campus Champions, ACCESS CSSN | ||
Daniel Sierra-Sosa | Campus Champions | ||
Fernando Garzon | ACCESS CSSN | ||
George Young | CAREERS | ||
shuai liu | ACCESS CSSN | ||
Maryam Taeb | |||
Neil McGlohon | CAREERS | ||
Paul Rulis | Campus Champions | ||
Grant Scott | Great Plains | ||
Shaohao Chen | Northeast | ||
William Lai | ACCESS CSSN |
Logo | Name | Description | Tags | 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 | ||
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 | ||
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 |
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.
A personalized learning system that adapts to learners' interests, needs, prior knowledge, and available resources is possible with artificial intelligence (AI) that utilizes natural language processing in neural networks. These deep learning neural networks can run on high performance computers (HPC) or on quantum computers (QC). Both HPC and QC are emergent technologies. Understanding both systems well enough to select which is more effective for a deep learning AI program, and show that understanding through example, is the ultimate goal of this project. The entry to learning technologies such as HPC and QC is narrow at present because it relies on classical education methods and mentoring. The gap between the knowledge workers needed, which is in high demand, and those with the expertise to teach, which is being achieved at a much slower rate, is widening. Here, an AI cognitive agent, trained via deep learning neural networks, can help in emergent technology subjects by assisting the instructor-learner pair with adaptive wisdom. We are building the foundations for this AI cognitive agent in this project.
The role of the student facilitator will involve optimizing a deep learning neural network, comparing and contrasting with the newest technologies, such as a quantum computer (and/or a quantum computer simulator) and a high performance computer and showing the efficiency of the different computing approaches. The student facilitator will perform these tasks at the rate described in the proposal. Milestone work will be displayed and shared publicly via posting to the Jupyter Notebooks on Google Colab and linked to regular Github uploads.
South Dakota State University
Campus Champions, Great Plains
representative, research computing facilitator, Affinity Group Leader, CCMNet PM
Austin Peay State University
Campus Champions
mentor, researcher/educator, research computing facilitator