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vectorization

Mentors and Regional Facilitators
Name Region Skills Interests
Andrew Sherman ACCESS CSSN, Campus Champions, CAREERS
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Daniel Howard RMACC, Campus Champions, ACCESS CSSN
Gaurav Khanna Campus Champions, CAREERS, Northeast
Craig Gross Campus Champions
Paul Rulis Campus Champions
Renos Zabounidis Campus Champions
Ron Rahaman Campus Champions
Grant Scott Great Plains
Shaohao Chen Northeast
Soham Pal Campus Champions, ACCESS CSSN
Swabir Silayi 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

Andrew Sherman

Yale University

Programs

ACCESS CSSN, Campus Champions, CAREERS

Roles

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

Portait of Andrew Sherman

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

+84 more tags

Andrew Sherman

Yale University

Programs

ACCESS CSSN, Campus Champions, CAREERS

Roles

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

Portait of Andrew Sherman

Expertise

People with Interest

Youngsu Kim

California State University-San Bernardino

Programs

ACCESS CSSN

Roles

cssn, CIP

my_pic

Interests

+34 more tags

Joseph Antonucci

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Interests

c
+25 more tags

Doosoo Yoon

University of Iowa

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Interests