vectorization

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.

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People with expertise

Shaohao Chen

Massachusetts Institute of Technology

Programs

Northeast

Roles

mentor

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Expertise

Craig Gross

Michigan State University

Programs

Campus Champions

Roles

research computing facilitator

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Expertise

Daniel Howard

National Center for Atmospheric Research

Programs

RMACC, Campus Champions, ACCESS CSSN

Roles

research computing facilitator, research software engineer

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Expertise

People with interest

Joseph Antonucci

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Interests

Ritesh Bachhar

University of Rhode Island

Programs

CAREERS

Roles

student-facilitator

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Interests

Youngsu Kim

California State University-San Bernardino

Programs

ACCESS CSSN

Roles

cssn, CIP

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Interests