Data and AI Systems

Leaders in solving the world’s most challenging problems through artificial intelligence, data driven algorithms and systems, and extending both to Beyond Moore’s Law and new network technologies

The Data and AI Systems section administers and supports system installation, deployment, acceptance, performance testing, upgrades, problem diagnosis, and troubleshooting for the division’s archive capabilities and computing, networking, and storage systems. The section also designs, implements, and operates all networking and system services for HPC and storage services in the division, as well as develops tools and administers data management platforms to extract and analyze telemetry, event logs, and system state information to ensure security, operational, and laboratory policy compliance.

Groups

Data Engineering
Data Engineering

Engineering data assets to drive innovation in science and national security

Learning Systems
Learning Systems

Creating scalable tools to build models from data

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Performance Engineering

Optimizing data applications and systems for advanced platforms to accelerate discovery

Visualization
Visualization

Research and development of scalable, intelligent visualization and analytics for complex data

Workflow Systems
Workflow Systems

Optimizing the end-to-end management of scientific data to enable knowledge discovery