The Defense Advanced Research Projects Agency (DARPA) is going all-in on AI agents that don’t just trade answers, but could help unlock the next wave of scientific breakthroughs.
Its new Mathematics of Boosting Agentic Communication (MATHBAC) program sets aside up to $2 million in Phase I funding under a 34-month effort to rethink how AI systems collaborate from the ground up.
It targets AI’s reliance on trial-and-error — what the agency calls an “Edisonian” approach — where systems brute-force solutions without fully understanding why they work.
Read the full story on our new publication, Military AI: DARPA’s $2M Bet: Teach AI Agents to Talk Smarter and Discover New Science
