All-optical spiking neurosynaptic networks with self-learning capabilities

Squeezing Deep Learning into Mobile and Embedded Devices

(2017) Nicholas D. Lane et al.   IEEE PERVASIVE COMPUTING

Deep learning with coherent nanophotonic circuits

(2017) Yichen Shen et al.   Nature Photonics

Calculating with light using a chip-scale all-optical abacus

(2017) J. Feldmann et al.   Nature Communications

Progress in neuromorphic photonics

(2017) Thomas Ferreira de Lima et al.   Nanophotonics

Neuromorphic photonic networks using silicon photonic weight banks

(2017) Alexander N. Tait et al.   Scientific Reports

A Mini Review of Neuromorphic Architectures and Implementations

(2016) Robert A. Nawrocki et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

All-memristive neuromorphic computing with level-tuned neurons

(2016) Angeliki Pantazi et al.   NANOTECHNOLOGY

Recent Progress in Phase-Change_newline Memory Technology

(2016) Geoffrey W. Burr et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

(2015) Geoffrey W. Burr et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Single-chip microprocessor that communicates directly using light

(2015) Chen Sun et al.   NATURE

Integrated all-photonic non-volatile multi-level memory

(2015) Carlos Ríos et al.   Nature Photonics

High-performance photonic reservoir computer based on a coherently driven passive cavity

(2015) Quentin Vinckier et al.   Optica

Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

(2014) Alexander N. Tait et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

Phase change materials and phase change memory

(2014) Simone Raoux et al.   MRS BULLETIN

Experimental demonstration of reservoir computing on a silicon photonics chip

(2014) Kristof Vandoorne et al.   Nature Communications

Artificial neural networks in medical diagnosis

(2013) Filippo Amato et al.   Journal of Applied Biomedicine

Parallel photonic information processing at gigabyte per second data rates using transient states

(2013) Daniel Brunner et al.   Nature Communications

Arithmetic and Biologically-Inspired Computing Using Phase-Change Materials

(2011) C. David Wright et al.   ADVANCED MATERIALS

Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

(2011) Duygu Kuzum et al.   NANO LETTERS