Sandia’s Neural Exploration & Research Laboratory enables researchers to explore the boundaries of neural computation. The research conducted in the lab evaluates what is possible with neural hardware and software for national security benefit and the advancement of basic research.
Current areas of NERL research include:
- Machine Learning and Deep Learning
- Neural Computing and Applications to High Performance Computing (HPC)
- Computational and Mathematical Neuroscience
- Reinforcement Learning
- Remote Sensing
- Hyperspectral Imaging
NERL consists of a variety of neuromorphic hardware & neural algorithms providing a testbed facility for comparative benchmarking and new architecture exploration. The lab’s hardware resources include:
Mapping particle tracking algorithms onto IBM TrueNorth
The IBM TrueNorth Chip offers a million. To complement the efforts putting deep learning on TrueNorth, we have developed an approach to map a spiking cross-correlation algorithm useful for tracking the movement of objects, such as particle image velocimetry (Severa et al., ICRC 2016).