MITRE Announces Sandbox to Boost Federal AI Experimentation

This initiative facilitates experimentation for next-gen AI applications in the federal sector.
MITRE Announces Sandbox to Boost Federal AI Experimentation
Representative image by DC Studio.

MITRE has recently announced the MITRE Federal AI Sandbox, aimed at granting AI researchers and developers access to substantial computing power. The organization will extend the Federal AI Sandbox to support its work across various sectors for federal agencies, spanning national security, healthcare, transportation, and climate.

This initiative facilitates experimentation for next-gen AI applications in the federal sector. To be operational by the end of the year, it utilizes an NVIDIA DGX SuperPOD, enabling accelerated AI enterprise work and machine learning.

Given the limited access to supercomputers and expertise among U.S. government agencies, this initiative addresses critical gaps in testing potential AI applications securely.

"Our new Federal AI Sandbox will help level the playing field, making the high-quality compute power needed to train and test custom AI solutions available to any agency," Charles Clancy, MITRE Senior Vice President and Chief Technology Officer, said.

Access to the Sandbox is available through MITRE's six federally funded research and development centers. The Sandbox facilitates training of advanced AI applications, including large language models and generative AI tools, as well as multimodal perception systems capable of processing diverse data types simultaneously.

It also supports reinforcement learning decision aids, enhancing human decision-making through trial and error learning.

Earlier this year, MITRE inaugurated a new facility focused on examining potential risks associated with government utilization of AI. Named the AI Assurance and Discovery Lab, this establishment is tailored for evaluating the risk factors inherent in AI-driven systems through simulated scenarios, red-teaming exercises, and "human-in-the-loop experimentation," among other methodologies.

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