SOAR TECHNOLOGY INC

Investigates and explores the solution space for physiologically-based emotion detection within the design and development of a Physiology-based Operator Confidence Assessment System (PhOCAS). The PhO ...

Army infantry Commanders rely on autonomous systems to gain situational awareness about what is around the next building or over the next hill. However, in smaller Army units, the Commander has limite ...

Rigor and precision in understanding training design exists within the academic literature of the learning sciences but accessing the state-of-the-art in the learning sciences and applying its lessons ...

Automatic Speech Recognition (ASR) is the capability where spoken words, commands or phrases are ingested and interpreted by a software system and used to elicit activity or response. ASR capabilities ...

The majority of todays cyberspace training is conducted on dedicated, closed network virtual ranges that provide the basic services and controls necessary to train DoD Cyberspace Mission Forces on the ...

Active Transfer Learning (ATL) is a machine learning approach that produces excellent accuracy and predictive power while requiring much less input data than competing approaches. SoarTech, partnered ...

SSIEGE is a prototype game-based CONOPS and tactics discovery system that features a plug-in framework and application programming interface with data mining and visualization components, together wit ...

All the military Services have identified the need for greater levels of autonomy and collaborative control or swarming for unmanned systems as critical enabling technologies for future forces. While ...

We propose to create TEAMMATE, a system that can give individual instructor trainees Tailored, Extensible, Automated Mastery Measurement for Actionable Teaching Evaluation. TEAMMATE will combine low-c ...

With the advanced capabilities planned by the TALOS program comes the risk of the operator becoming overwhelmed by the information available and the operation of the suit itself. To effectively employ ...