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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

Kali McLennan

University of Oklahoma

Programs

Campus Champions, Great Plains

Roles

mentor, research computing facilitator

Expertise

Doruk Alp MUTLU

Michigan State University

Programs

ACCESS CSSN

Roles

student-facilitator

profile photo

Expertise

James Deaton

Great Plains Network

Programs

Campus Champions, Great Plains, ACCESS CSSN

Roles

mentor, regional facilitator, research computing facilitator, steering committee, regional admin

Expertise

People with Interest

Paul Hoover

University of California, San Diego

Programs

ACCESS CSSN

Roles

cssn, CIP

Placeholder headshot

Interests

Russell Hofmann

Internet2

Programs

ACCESS CSSN

Roles

mentor, cssn

Placeholder headshot

Interests

Xiaoqin Huang

Rice University

Programs

ACCESS CSSN

Roles

mentor, research computing facilitator, research software engineer, cssn

xqhuang at Rice

Interests