Dr. William Severa‘s research team at Sandia National Laboratories was featured in an article entitled “One Step Closer to Deep Learning on Neuromorphic Hardware” in The Next Platform. Dr. Severa is a Senior Member of the Technical Staff in the Data-driven and Neural Computing group at Sandia and is lead mathematician on the profiled project. The article states that the “group of researchers at Sandia National Laboratories have developed a tool that can cross-train standard convolutional neural networks (CNN) to a spiking neural model that can be used on neuromorphic processors.” In the article Dr. Severa notes that “I think it’s not too long before it’s feasible to have neuromorphic hardware embedded on traditional HPC or datacenter racks.”