The U.S. military is actively exploring various artificial intelligence applications, ranging from predictive maintenance of ICBMs to the analysis of extensive satellite data. These advancements present opportunities for AI startups like Virtualitics, which has secured research contracts with the Air Force and Space Force. Virtualitics offers an AI tool designed to pinpoint vulnerabilities in procurement programs by leveraging historical data analysis to forecast potential issues preemptively.
Chief Technology Officer Kyle Rice of Virtualitics’ federal division highlighted the significance of AI in addressing the Space Force’s procurement challenges, emphasizing the role of AI in enhancing satellite acquisition processes. By scrutinizing historical data, AI can detect procurement risks and unveil patterns within past contracts, as discussed by Rice during the Air & Space Forces Association’s Warfare Conference in Aurora, Colorado on Feb. 13.
AI Enhancing Predictive Maintenance
Virtualitics, headquartered in Pasadena, California, collaborates with the Air Force Nuclear Weapons Center to forecast maintenance requirements for the Minuteman 3 intercontinental ballistic missile fleet. Additionally, the Air Force Global Strike Command employs Virtualitics’ AI platform for predictive maintenance of the nation’s bomber aircraft fleet. This technology aids in identifying maintenance needs, predicting equipment failures, and optimizing inventory and workforce management.
Rice expressed enthusiasm about the Space Force’s focus on expediting procurement processes and streamlining operations. He underscored the growing interest within the Department of Defense in utilizing AI for project evaluation, leveraging data analytics to assess the attributes contributing to program success.
Uncovering hidden trends and potential warning signs associated with vendors, projects, or technologies could result in substantial cost savings for the Pentagon. Rice emphasized the importance of leveraging data insights to enhance decision-making processes and project outcomes.
Ensuring AI Reliability
During a panel discussion moderated by Maj. Gen. Stephen Purdy, concerns were raised regarding the reliability of AI applications in military contexts. Purdy emphasized the Space Force’s interest in leveraging AI for improved space situational awareness, crucial for monitoring space threats and safeguarding key assets. The discussion also touched upon public skepticism towards AI reliability, particularly in scenarios involving AI-generated content.
Rice emphasized the structured nature of AI tools utilized by the military for tasks such as space domain awareness, ensuring that the analysis results are traceable and verifiable. He differentiated between deterministic AI applications, preferred for their explainability, and generative AI like ChatGPT, which excels in content generation but lacks transparency in decision-making processes.
In military applications, the focus primarily lies on leveraging AI for enhanced analysis rather than content creation. While generative AI offers creativity, its lack of explainability may pose challenges in certain contexts, highlighting the importance of pairing different AI techniques based on specific use cases and requirements.
