Abstract: Methods and systems for data communication in a distributed computing environment include: providing a first network node associated with a first data processing location, the first network node providing provide a network interface for a first distributed computing node at the first data processing location; and forwarding task data flow messages from the first distributed computing node to a second distributed computing node at a second data processing location via a second network node associated with the second data processing location.

Abstract: A system and method for applying a convolutional neural network (CNN) to speech recognition. The CNN may provide input to a hidden Markov model and has at least one pair of a convolution layer and a pooling layer. The CNN operates along the frequency axis. The CNN has units that operate upon one or more local frequency bands of an acoustic signal. The CNN mitigates acoustic variation.

Abstract: A system for dynamic waveform shaping in an optical fiber comprising: the optical fiber receiving an optical waveform, the optical waveform having individual spectral lines; a plurality of fiber bragg gratings in-line on the optical fiber, each having a reflectivity wavelength corresponding to one of the spectral lines; a plurality of polarization controllers in-line on the optical fiber, each polarization controller receiving the optical waveform from a respective fiber bragg grating; a circulator for directing the optical waveform as input to the plurality of fiber bragg gratings and receiving the optical waveform as output from the plurality of fiber bragg gratings; and a polarizer in-line on the optical fiber receiving the optical waveform from the fiber bragg gratings and the polarization controllers.