Advanced Coherent Technologies (United States)

This study investigates the role of generative artificial intelligence (AI) in enhancing emotional intelligence (EQ) competencies, with a focus on applications relevant to cybersecurity contexts. Emotional intelligence is critical for cybersecurity professionals who must navigate high-pressure environments, manage stakeholder communications during incidents, and maintain team cohesion during crisis situations. Using a quantitative survey methodology with 95 participants from diverse professional backgrounds, this research examines correlations between generative AI capabilities and key EQ dimensions including emotional awareness, empathetic communication, conflict resolution, and stress management. Key findings demonstrate strong correlations between AI tools and EQ competencies, with emotional awareness and empathetic communication showing the strongest association (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{r} =0.74$</tex>). While this study's participant pool was not exclusively cybersecurity professionals, a noted limitation, the findings provide foundational insights into how AI tools might enhance human-centric skills across professional domains. The results suggest significant potential for integrating AI into EQ training and support systems, particularly for high-stress environments like cybersecurity operations. This research contributes to understanding the intersection between technology and emotional intelligence while highlighting critical areas for future domain-specific investigation.

The Navy recently began investing in the design of mission-specific payloads for the Small Tactical Unmanned Aircraft System (STUAS). STUAS is a Tier II size UAS with a roughly 35 pound mission payload and a gimbaled general-purpose electro optical/infrared (EO/IR) system. The EO/IR system is likely composed of a video camera in the visible, a mid-wave infrared (MWIR) and/or a long-wave infrared (LWIR) for night operations, and an infrared marker and laser range finder. Advanced Coherent Technologies, LLC (ACT), in a series of SBIR efforts, has developed a modular, multi-channel imaging system for deployment on airborne and UAV platforms. ACT's system, called EYE5, demonstrates how an EO/IR system combined with an on-board, real-time processor can be tailored for specific applications to produce real-time actionable data. The EYE5 sensor head and modular real-time processor descriptions are presented in this work. Examples of the system's abilities in various Navy-relevant applications are reviewed.

Advanced Coherent Technologies, LLC (ACT) is using a multi-spectral, multi-channel imaging system to detect and monitor marine mammals. The system, designed with US Navy funding, is intended to monitor mammals on US Navy submarine training ranges prior to and during Navy active acoustic training activities. ACT has conducted system tests and data collection activities at the St. Lawrence Seaway (Quebec, Canada), at Ma'alaea Bay (Maui, Hawaii), and from the Coronado Bay Bridge (San Diego, California). A description of the imaging system and the results of the data collections are discussed and presented.

Advanced Coherent Technologies, LLC has demonstrated the use of multi-channel imaging systems in a variety of applications. These systems are composed of multiple cameras or 'channels', each of which can be coupled with spectral filters, polarization analyzers, or unique optics (e.g. for field of view (FOV) or aperture adjustments). The channel content is designed specifically for the extraction of information and/or the detection of targets. Airborne data collects have been made over forest and maritime environments for the detection of various targets. The results of these collects are discussed and analyzed. Of particular concern is how channel content is chosen in each environment and for each target.