In modern large-scale combat operations (LSCO), the sheer volume of data from intelligence collection sensors overwhelms division and corps G2s, making it difficult to distinguish critical information ...

AI isn't closing the threat intelligence gap nearly as much as many suspect it should. In many organizations, it is actually ...

Shared services, shared identity layers, shared connectivity providers — criminal and state affiliated actors move through ...

PARIS (AP) — Fearful of an expanding extremist threat, countries that for years have relied heavily on U.S. intelligence are quickly building up their own capabilities with new technology, new laws ...

Collection of intelligence in Afghanistan has not been a trivial problem, with the need to track individuals in mountains and detect small improvised explosive devices, but it pales in comparison to ...

FORT CAMPBELL, Ky. – Intelligence collection managers traditionally spend a significant amount of time manually creating and updating their Information Collection Synchronization Matrix (ICSM), which ...

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

Embodied intelligence in robots is an interdisciplinary approach that emphasises the importance of robot-environment interaction in shaping and developing intelligent, adaptive behaviour. As ...