The Infrastructure Core assesses data, computing and software infrastructure models, tools, resources, data science policies, and AI/ML computing models to facilitate AI/ML and health research; and establishes pilot data and analysis environments to accelerate overall AIM-AHEAD Coordinating Center (A-CC) aims.
Infrastructure Core
Infrastructure Resources
Service Workbench
Provides researchers and students with a user-friendly environment to configure and deploy their own secure cloud-computing environment.
AI Optimization Subcore
A central resource for discussing and exploring AI optimization issues within the AIM-AHEAD Program.
There are a wide variety of data and computing infrastructure options to facilitate artificial intelligence and machine learning (AI/ML).
Cloud platforms, for example, integrate data storage, computing cycles, security, and, often, analysis tools for geographically distributed users and groups. Distributed or federated learning approaches are more appropriate when data cannot be pooled.
Infrastructure Core
Data & Computing Strategies for AI/ML Implementation
Infrastructure Core
Assessment & Testing
The AIM-AHEAD Coordinating Center (A-CC) works with consortium members to assess needs and constraints, and pilot and test different data and computing infrastructure, tools, and governance models including data policy and organizational models.
