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Found 8 papers, 1 papers with code
Real-Time Blind Photonic Interference Cancellation for mmWave MIMO
Multiple-input multiple-output (MIMO) mmWave devices broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates.
Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems
Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementations.
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
There has been growing interest in using photonic processors for performing neural network inference operations; however, these networks are currently trained using standard digital electronics.
Wideband photonic blind source separation with optical pulse sampling
The ultra-fast optical pulse functions as a tweezer that collects samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals.
Photonics for artificial intelligence and neuromorphic computing
Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms.
Noise Analysis of Photonic Modulator Neurons
Here, we examine modulator-based photonic neuron circuits with passive and active transimpedance gains, with special attention to the sources of noise propagation.
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural language processing.
Neuromorphic Silicon Photonic Networks
At increased scale, Neuromorphic silicon photonics could access new regimes of ultrafast information processing for radio, control, and scientific computing.
