The U.S. Army has awarded Carnegie Mellon University a potential five-year, $70M contract to develop a framework for innovating artificial intelligence.
Army Contracting Command received one bid for the AI innovation framework R&D project via an online solicitation process, the Department of Defense said Tuesday.
CMU is expected to finish contract work by April 6, 2025.
Related Articles
The National Reconnaissance Office’s proliferated architecture recorded more than 400,000 collections in 2025, William Adkins, principal deputy director at NRO, said Tuesday at the annual Space Symposium. NRO’s progress on its proliferated architecture comes as government and industry leaders prepare to discuss the future of space capabilities at major forums. Register now for the 2026 Air and Space Summit and listen to experts as they discuss trends and emerging technologies shaping national security missions across the air and space domains. Adkins, a 2026 Wash100 awardee, said the architecture is now operational and exceeding expectations two years after the agency introduced
The Department of Energy’s Office of Cybersecurity, Energy Security and Emergency Response and Lawrence Livermore National Laboratory have introduced an artificial intelligence testbed designed to evaluate the cybersecurity and reliability of AI models used in the energy sector. DOE’s latest push to strengthen AI cybersecurity in the energy sector highlights the growing urgency around securing advanced technologies that support critical infrastructure. Sign up now for the 2026 Digital Transformation Summit on April 22 to hear experts discuss the use of AI in high-security federal environments, mission engineering, enterprise IT and other topics shaping the digital landscape. What Is the Mjölnir
The Defense Advanced Research Projects Agency has advanced its Heterogeneous Architectures for Quantum, or HARQ, program with 19 performer teams from 15 organizations tasked with developing software and hardware frameworks that enable different quantum computing technologies to operate within a single system. The effort is organized around two parallel workstreams, DARPA said Tuesday. The Multi-qubit Optimized Software Architecture through Interconnected Compilation, or MOSAIC, track focuses on building software frameworks and circuit compilers that optimize quantum algorithms by assigning tasks across multiple qubit types. The goal is to produce more efficient “mosaic” circuits than those generated by single-platform systems. The second