hpc-operations

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.

Announcements

There are no announcements with this tag. View All Announcements.

Upcoming Events

No events or trainings are currently scheduled.

Affinity Groups

Name Description Tags Join
The words Open On Demand Open OnDemand An intuitive, innovative, and interactive interface to remote computing resources Open OnDemand helps computational researchers and students efficiently utilize remote computing resources by making… ondemand, administering-hpc, cluster-management, cluster-support, hpc-operations, batch-jobs, kubernetes
hpc.social graphic hpc.social High Performance Computing and related fields, including Big Data, Research Computing, and related hardware and software optimized for these fields, including research software engineering and… administering-hpc, cluster-management, cluster-support, distributed-computing, file-systems, hardware, hpc-arch-and-perf, hpc-operations, hpc-storage

People with expertise

Ric Anderson

The University of Arizona

Programs

Campus Champions

Roles

ci systems engineer

Expertise

Sean Anderson

Wake Forest University

Programs

Campus Champions

Roles

student-facilitator, mentor, research computing facilitator

Sean Anderson
Expertise

Michael Blackmon

Davidson College

Programs

Campus Champions

Roles

student-facilitator, research computing facilitator, ci systems engineer

Placeholder headshot
Expertise

People with interest

Nihar Biradar

Rutgers University

Programs

CAREERS

Roles

student-facilitator

Profile Photo
Interests

Gavin Burris

University of Pennsylvania

Programs

Campus Champions

Roles

research computing facilitator, ci systems engineer

Placeholder headshot
Interests

Samantha Granja

Programs

ACCESS CSSN

Roles

student-facilitator

Girl smiling at the camera - headshot
Interests