Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Abstract: In this paper, we describe, implement, and validate the decomposition of the Complex Cross Ambiguity Functions (CCAF) of spoofed Global Navigation Satellite System (GNSS) signals into their ...

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Abstract: A systematic theory is introduced for finding the four Hessians of complex-valued scalar functions with respect to a complex-valued matrix variable and the complex conjugate of this variable ...