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Found 9 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.
Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation
The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectively address these issues.
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.
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.
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction
We describe a new technique which minimizes the amount of neurons in the hidden layer of a random recurrent neural network (rRNN) for time series prediction.
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.
