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Ask.CI Q&A Platform for Research Computing Website resourcesprogramming-best-practices Beginner, Intermediate, Advanced
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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

Aaron Jezghani

Georgia Institute of Technology

Programs

Campus Champions

Roles

research computing facilitator

Expertise

Keri Toksu

University of Vermont

Programs

Northeast, Campus Champions

Roles

mentor, research computing facilitator, regional admin

Expertise

Andrew Monaghan

University of Colorado, Boulder

Programs

RMACC, Campus Champions

Roles

mentor, research computing facilitator

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Expertise

People with Interest

Paul Rulis

University of Missouri-Kansas City

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Paul Rulis

Interests

Michael Weiner

Georgia Institute of Technology

Programs

Campus Champions

Roles

CampusChampionsAdmin, research computing facilitator, Affinity Group Leader

Michael Weiner

Interests

Matthew Chung

University of California, Riverside

Programs

ACCESS CSSN

Roles

student-facilitator, cssn

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Interests