Training a traditional neural network on the same data set produced a vowel-recognition accuracy of just over 90 percent. For the optical neural network, accuracy was just over 75 percent.

Detection of bottom objects is one of the key tasks of an autonomous underwater vehicle. Neural networks are being increasingly used for solving these problems. Application of neural networks to ...

Abstract: This paper proposes a biologically plausible system for object recognition based on tactile form perception. A spiking neural network, an encoding scheme for converting the input values into ...

When computer scientists at Google's mysterious X lab built a neural network of 16,000 computer processors with one billion connections and let it browse YouTube, it did what many web users might ...