ai

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.

Upcoming Events

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Affinity Groups

Name Description Tags Join
AI Institutes Cyberinfrastructure logo AI Institutes Cyberinfrastructure Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. ai, machine-learning, gpu, python
Jetstream-2 ACCESS Affinity Group logo Jetstream-2 Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… cloud-open-source, cloud-storage, openstack, ai, machine-learning, tensorflow, science gateway, gpu, nvidia, cuda, jupyterhub, matlab, vnc, containers, singularity

People with expertise

Joseph Antonucci

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Expertise

Jack Boynton

University of Vermont

Programs

Northeast

Roles

student-facilitator, researcher/educator

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Expertise

Kevin Brandt

South Dakota State University

Programs

Campus Champions, Great Plains

Roles

representative, research computing facilitator, CCMNet PM

Photo of Kevin Brandt
Expertise

People with interest

Joseph Antonucci

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Interests

Gretta Armstrong

Cornell University

Programs

ACCESS CSSN

Roles

cssn

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Interests