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Title Category Tags Skill Level
Introductory Tutorial to Numpy and Pandas for Data Analysis Docs aibig-datadata-analysis +1 more tags Beginner
Numba: Compiler for Python Docs vectorizationoptimizationperformance-tuning +1 more tags Intermediate, Advanced
Scikit-Learn: Easy Machine Learning and Modeling Tool documentationaiplotting +9 more tags Beginner, Intermediate

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

Renos Zabounidis

Carnegie Mellon University

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Expertise

Gaurav Khanna

University of Rhode Island

Programs

Campus Champions, CAREERS, Northeast

Roles

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

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

People with Interest

Paul Rulis

University of Missouri-Kansas City

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Paul Rulis

Interests

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