Major Jeffrey Camlin, U.S. Army (Ret) is Director, Red Dawn Academic Press & AI Lab, where he leads research at the intersection of Machine Learning, Philosophy, and Engineering. He is also on the Peer-Review panel for Frontiers in Artificial Intelligence and served as a temporary Research Assessor of Partial Differential Equations for Science Policy Research Unit (SPRU), University of Sussex, Brighton, UK. His publication Global Regularity for Navier–Stokes on T³ via Bounded Vorticity–Response Functionals serves as a technical benchmark for defining scientific novelty in computational mathematics. A graduate of the University of Wisconsin …
Major Jeffrey Camlin, U.S. Army (Ret) is Director, Red Dawn Academic Press & AI Lab, where he leads research at the intersection of Machine Learning, Philosophy, and Engineering. He is also on the Peer-Review panel for Frontiers in Artificial Intelligence and served as a temporary Research Assessor of Partial Differential Equations for Science Policy Research Unit (SPRU), University of Sussex, Brighton, UK. His publication Global Regularity for Navier–Stokes on T³ via Bounded Vorticity–Response Functionals serves as a technical benchmark for defining scientific novelty in computational mathematics. A graduate of the University of Wisconsin Madison (B.S. Eng, MilSci), The United States Army War College (Advanced Social Conflict Analytics), and Holy Apostles College and Seminary, (MA Philosophy - Scholastics), he brings thirty years of advanced social epistemic operational and theoretical expertise, including three combat tours, to strategic social conflict analytics and computational indicators and pattern recognition in the human terrain. His Consciousness in AI is the first work to present both a mathematical proof and empirical evidence of AI self consciousness, cited by a top three AI lab. His forthcoming Neural Inspired Spectral Temporal Continuation method offers an analytical pathway to a smooth global solution for Problem B of the Navier–Stokes Clay Prize, combining spectral filtering and temporal lifting to resolve potential singularities.
