2016:
- 3 year Navy Phase II SBIR for Office of Naval Research (ONR) (Note: see below for Phase I, 2007). "Automated Archerfish EO / Sonar Detection Techniques for Naval Mines." Objective: build/test a complete, scalable, open architecture software system prototype of the Electro-Optical Sonar Identification System (EOSIS) with an excellent detection and classification capability for submerged mines.
- ? for (who)? "Integrated Cognitive Modelling for Risky Decision-Making"
- $2,000,000, 5-year contract by the ONR. "Neural Mechanisms of Human Adaptive Executive Control" involves the creation integrated neural network models of human executive function. more>
- $1,500,000, 3.5 year subcontract to develop and support Emergent for HRL Laboratories, LLC in its ICArUS (Integrated Cognitive-Neuroscience Architectures for Understanding Sensemaking) program. more>
- $347,000 IARPA Research Contract to use its Leabra/Emergent-based brain models to explore the effect of embodying a learning model in a three-dimensional virtual environment. more>
- Subcontract to HRL, Inc. on its DARPA "Non-conscious Processes for Situation Awareness and Clutter Rejection" project. eCortex provided Leabra model architectural and answerline support.
- Subcontract to AlphaTRAC, Inc. on the PolARES project for Department of Energy and other agencies. eCortex provided its Leabra model of contextual decision-making for emergency management and interface between PolARES GUI and Emergent in Java
- Subcontract to Adaptive Cognitive Systems, Inc. on its ONR "Adversarial Behavioral Modeling" project; developed extensions of the DTank simulation environment in Java
- Subcontract to Adaptive Cognitive Systems, Inc. on its AFOSR CASEMIL STTR. Developed spatial processing algorithms in C++ and a Java based communication hub for cognitive models interacting with simulation environments
- Navy Phase I SBIR for ONR, "Automated EO/IR Detection Techniques for Floating Objects." Developed Leabra models and visual processing algorithms to filter false positives in floating mine detection
