The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The current research is published in the journal Digital Discovery.

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The research is published in the journal Digital Discovery.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

The robot assists in pre- and post-procedural analysis and is supported by KE-BOT Mobile, a digital application linked to ASMED's central data servers.

NETCOM data scientists use the platform to deploy ML algorithms that enhance network operations and security in direct support of NETCOM G-2, the Global Cyber Center and the 7th Theater Support ...