Artificial Intelligence Forge targets national security research gaps

DARPA and the National Science Foundation are launching Artificial Intelligence Forge to push research on national security problems that commercial development often overlooks. The effort focuses on reliability, interpretability, control, and resilience in high-stakes and contested environments.

DARPA and the U.S. National Science Foundation, working in collaboration with the Center for Artificial Intelligence Standards and Innovation at the National Institute of Standards and Technology, have developed Artificial Intelligence Forge, a research and development program designed to catalyze breakthroughs in Artificial Intelligence for national security. The initiative is aimed at closing the gap between rapid commercial Artificial Intelligence progress and the distinct requirements of defense and intelligence missions. Its goals include accelerating progress toward Artificial Intelligence that is more reliable and predictable in high-stakes settings, more understandable to operators, and more secure in contested environments, while also building a durable research ecosystem that connects universities, frontier Artificial Intelligence companies, and government.

The program brought together representatives from frontier Artificial Intelligence companies, chief Artificial Intelligence officers from more than 15 Department of War and Intelligence Community agencies, and other government stakeholders to identify core challenges for national security. Their work is captured in the AI Forge Critical Artificial Intelligence Challenges for National Security report, which outlines 15 research challenges in three thrust areas. These areas are Artificial Intelligence interpretability, focused on making system behavior, decisions, and impacts understandable to humans in operational settings; Artificial Intelligence control, focused on tools that can provide strong, verifiable evidence of bounded, auditable, and reliable model behavior while preserving meaningful human control; and adversarial robustness, focused on scientific foundations for systems that maintain integrity and intended performance under deliberate attack. To keep pace with the field, the challenges will be revisited every six months during the program.

Artificial Intelligence Forge is now seeking input from the university research community through a Request for Information tied to the report’s challenge areas. Responses will help create a repository of U.S. universities interested in advancing next-generation Artificial Intelligence research for national security. Responses are due by June 22. The program plans to establish a forum that includes universities, industry, and U.S. government representatives to fund, guide, and manage fast-paced, university-led research projects. The forum is intended to pair academic talent with frontier-scale compute, models, and expertise around mission-driven problems shaped by leaders across the Department of War and Intelligence Community. The forum will be administered by a nonprofit and will launch in summer 2026.

52

Impact Score

Google backs virtual power plant for data center power

Google is funding a virtual power plant through Voltus in PJM to help support data center electricity demand. The deal highlights a growing effort to use grid flexibility, while raising questions about whether households and businesses will participate at scale.

SoftBank backs France Artificial Intelligence infrastructure expansion

SoftBank plans a major buildout of Artificial Intelligence infrastructure in France, centered on new data center capacity in Hauts-de-France and industrial partnerships in Dunkirk. The investment underscores France’s push to become a leading European hub for high-performance compute.

Nvidia pushes Artificial Intelligence PCs into the mainstream

Nvidia is positioning Artificial Intelligence PCs as a new phase for personal computing, with Jensen Huang arguing that the category could reshape how laptops and desktops handle demanding software. The shift centers on running more Artificial Intelligence features directly on devices instead of depending heavily on the cloud.

Nvidia unveils RTX Spark Windows PCs

Nvidia introduced RTX Spark, its first fully integrated chip for Windows laptops and desktops, aiming to bring local Artificial Intelligence agents, gaming, and productivity workloads onto its own hardware stack. The new systems are expected this fall from major PC makers, with premium pricing and no detailed benchmarks yet disclosed.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.