python
Affinity Groups
Logo | Name | Description | Tags | Join |
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AI Institutes Cyberinfrastructure | Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. | Login to join |
Announcements
Upcoming Events & Trainings
Title | Date |
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A Hands-On Introduction to Quantum Computing with NVIDIA’s CUDA Quantum | 4/19/24 |
HPC and Data Science Summer Institute | 8/05/24 |
Topics from Ask.CI
CI Links
Title | Category | Tags | Skill Level |
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ACES: Charliecloud Containers for Scientific Workflows (Tutorial) | Learning | ACES, TAMU, scratch, lammps, tensorflow, ondemand, gpu, nfs, slurm, bash, training, python, containers | Beginner |
Advanced Mathematical Optimization Techniques | Learning | optimization, python | Beginner, Intermediate, Advanced |
AHPCC documentary | Docs | login, batch-jobs, slurm, bash, ssh, python, mpi | Beginner, Intermediate |
Engagements
High Performance Computing vs Quantum Computing for Neural Networks supporting Artificial Intelligence
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.
People with Expertise
Parameshwaran Pasupathy
Rutgers University - New Brunswick
Programs
ACCESS CSSN, CAREERS
Roles
student-facilitator
Expertise
Expertise
Katherine Nelson
Yale University
Programs
Campus Champions, CAREERS, ACCESS CSSN
Roles
mentor, administrator, Masquerade, ExportPeople, research computing facilitator, steering committee, regional admin
Expertise
People with Interest
Neil McGlohon
Rensselaer Polytechnic Institute
Programs
CAREERS
Roles
mentor, steering committee, regional admin
Interests
Interests
Wirawan Purwanto
Old Dominion University
Programs
Campus Champions, Northeast, ACCESS CSSN
Roles
mentor, research computing facilitator, cssn