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big-data

Mentors and Regional Facilitators
Name Region Skills Interests
Tony Elam Kentucky
Alana Romanella Campus Champions
Brian Gregor Northeast, Campus Champions
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Dylan Perkins RMACC, ACCESS CSSN
Fernando Garzon ACCESS CSSN
Feng George Yu Campus Champions
Jordan Hayes Campus Champions
Jacob Pessin Northeast
Katia Bulekova ACCESS CSSN, Campus Champions, CAREERS, Northeast
Thomas Langford Campus Champions, CAREERS
shuai liu ACCESS CSSN
Maryam Taeb
Neil McGlohon CAREERS
Jeffrey J. Nuc… CAREERS
Mahmoud Parvizi Campus Champions
Rob Harbert Northeast
Grant Scott Great Plains
Simon Delattre
Suhong Li CAREERS, ACCESS CSSN
Scott Valcourt Northeast, Campus Champions
Yun Shen CAREERS, Northeast, ACCESS CSSN
Yongwook Song Kentucky
Blog Entries
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Affinity Groups

Logo Name Description Tags Join
Large Data Sets For people who evaluate or use storage options for researchers with large data sets.  Login to join
DARWIN DARWIN (Delaware Advanced Research Workforce and Innovation Network) is a big data and high performance computing system designed to catalyze Delaware research and education funded by a $1.4 million… Login to join

Topics from Ask.CI

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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

Denis Kornev

Harrisburg University of Science and Technology

Programs

CAREERS

Roles

researcher/educator

Placeholder headshot

Expertise

Katia Bulekova

Boston University

Programs

ACCESS CSSN, Campus Champions, CAREERS, Northeast

Roles

mentor, research computing facilitator

image of Katia Bulekova

Expertise

Scott Valcourt

Roux Institute, Northeastern University

Programs

Northeast, Campus Champions

Roles

mentor, researcher/educator, research computing facilitator, Affinity Group Leader, steering committee, regional admin

Expertise

People with Interest

Ying-Chih Sun

Harrisburg University

Programs

CAREERS

Roles

student-facilitator

Placeholder headshot

Interests

Vedang Chauhan

Western New England University

Programs

Northeast

Roles

mentor, researcher/educator

image of Vedang Chauhan

Interests

Paul Rulis

University of Missouri-Kansas City

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Paul Rulis

Interests