Skip to main content

natural-language-processing

Mentors and Regional Facilitators
Name Region Skills Interests
Benjamin Meyers Campus Champions
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Ibrahim Sheikh CAREERS
Jason Wells ACCESS CSSN, Campus Champions
Keri Toksu Northeast, Campus Champions
Laura Christopherson Campus Champions
shuai liu ACCESS CSSN
Maryam Taeb
Suhong Li CAREERS, ACCESS CSSN
Users
Name Roles Skills Interests
Adham Khalifa
student facilitator
Ahamed Arafaat…
student facilitator
Carlos Paniagua
researcher/educator
Balamurugan Desinghu
mentor
researcher/educator
rcf
Girish Ganesan
student facilitator
Hening Cui
student facilitator
Ibrahim Sheikh
student facilitator
mentor
regional facilitator
researcher/educator
rcf
Jaivik Patel
student facilitator
Madhukara Keku…
student facilitator
Parth Shah
student facilitator
Richa Gautam
student facilitator
Suhong Li
mentor
researcher/educator
Seth Rosen
student facilitator
Blog Entries
There are no Blog Entries associated with this topic.

Affinity Groups

There are no Affinity Groups associated with this topic. View All Affinity Groups.

Announcements

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

Upcoming Events & Trainings

No events or trainings are currently scheduled.

Topics from Ask.CI

Loading topics from Ask.CI ...

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

Parth Shah

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Placeholder headshot

Expertise

Keri Toksu

University of Vermont

Programs

Northeast, Campus Champions

Roles

mentor, research computing facilitator, regional admin

Expertise

Laura Christopherson

RENCI

Programs

Campus Champions

Roles

research computing facilitator, Affinity Group Leader, CCMNet PM

Placeholder headshot

Expertise

People with Interest

Kyle Randall

Programs

ACCESS CSSN

Roles

student-facilitator

NASA Langley Picture

Interests

Enric Jiao

Programs

ACCESS CSSN

Roles

student-facilitator

Placeholder headshot

Interests

Richa Gautam

University of Delaware

Programs

CAREERS

Roles

student-facilitator

Placeholder headshot

Interests