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research-grants

Mentors and Regional Facilitators
Name Region Skills Interests
Adam Carlson Campus Champions
Ami Gaspar Campus Champions, Northeast
Alana Romanella Campus Champions
Aaron Wemhoff Campus Champions
Christopher Bl… Campus Champions
Christopher Maher Campus Champions
Cody Stevens Campus Champions
Charles Nguyen Campus Champions
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
diana Trotman CAREERS
Elie Alhajjar ACCESS CSSN
Henry Neeman Campus Champions
Jeffrey Weekley Campus Champions
Mohammadreza H… Campus Champions
Maryam Taeb
Paul Rulis Campus Champions
Mike Renfro Campus Champions
Sean Anderson Campus Champions
Shane Sanders Campus Champions
Xiaoqin Huang ACCESS CSSN
William Sanders Campus Champions
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Engagements

High Performance Computing vs Quantum Computing for Neural Networks supporting Artificial Intelligence
Pace University

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.

Status: Complete

People with Expertise

Charles Nguyen

University of Minnesota

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Expertise

Balamurugan Desinghu

Rutgers, the State University of New Jersey

Programs

ACCESS CSSN, Campus Champions, CAREERS, Northeast

Roles

mentor, researcher/educator, research computing facilitator, cssn, Consultant

Bala Desinghu Photo

Expertise

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Jeffrey Weekley

University of California - Santa Cruz

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Expertise

People with Interest

Henry Neeman

University of Oklahoma

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Interests

c
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Ibrahim Sheikh

CUNY School of Professional Studies

Programs

CAREERS

Roles

student-facilitator, mentor, regional facilitator, researcher/educator, research computing facilitator

Interests

Samuel Siewert

Programs

ACCESS CSSN

Roles

cssn

Associate Professor - California State University Chico

Interests