| Last Name | Name | Awards | Contact | |
|---|---|---|---|---|
| Nugent | Alex Nugent | 5 | Message | |
| Riggs | Hillary Riggs | 2 | Message |
Phase 2 SBIR
ABSTRACT: In our phase-1 effort we proved feasible our Anti-Hebbian and Hebbian (AHaH) sparse-spiking framework for sense making applications. Demonstrated capabilities include optimal pattern classification, anomaly detection and complex temporal signal prediction. In the phase-2 effort we will develop a production ready Scalable and Extensible...
Phase 2 STTR
Institution: Virtual Structures Research
ABSTRACT: Both civilian and military personnel live in a world awash in information while our military commands reconnaissance and weapons platforms of all shapes and sizes over a global and increasingly congested theater. We need new technology to help us sort, prioritize, make sense, and act on the growing streams of information. In Phase 1 w...
Phase 1 STTR
Institution: New Mexico Consortium
We propose a self-organized chaotic attractor based CMOS/Memristor circuit framework called Self-Evolvable-Logic-Fabric (SELF) for autonomous motor control. We propose to demonstrate SELF's ability to spontaneously evolve algorithmic pathways to control a robotic arm to catch a ball utilizing visual and proprioceptive feedback while varying para...
Phase 1 SBIR
ABSTRACT: We propose an elegant network-building algorithm for sense-making applications capable of learning the spatial-temporal structure of applied input data. Through a combination of synaptic and structural plasticity our networks will dissect vast quantities of streaming information down to its natural building blocks and then spontaneousl...
Phase 1 STTR
Institution: Virtual Structures Research
ABSTRACT: We propose a revolutionary method for constructing autonomous self-organizing circuits via memristive and CMOS technologies for use in autonomous flying vehicles. Our method utilizes a simple but powerful plasticity rule that can be mapped to the physics of memristive devices acting as synaptic elements whiten neuromorphic circuits. ...
