What is needed for a neural network in machine learning are artificial neurons which are activated by external excitatory signals, and which have connections to other neurons.

An RIT scientist has been tapped by the National Science Foundation to solve a fundamental problem that plagues artificial neural networks. Christopher Kanan, an assistant professor in the Chester F.

The development of neural networks to create artificial intelligence in computers was originally inspired by how biological systems work. These 'neuromorphic' networks, however, run on hardware ...