The rise of intelligent matter
Artificial intelligence (AI) is accelerating the development of unconventional computing
paradigms inspired by the abilities and energy efficiency of the brain. The human brain …
paradigms inspired by the abilities and energy efficiency of the brain. The human brain …
Polariton condensates for classical and quantum computing
Polariton lasers emit coherent monochromatic light through a spontaneous emission
process. As a rare example of a system in which Bose–Einstein condensation and …
process. As a rare example of a system in which Bose–Einstein condensation and …
11 TOPS photonic convolutional accelerator for optical neural networks
Convolutional neural networks, inspired by biological visual cortex systems, are a powerful
category of artificial neural networks that can extract the hierarchical features of raw data to …
category of artificial neural networks that can extract the hierarchical features of raw data to …
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
There is an ever-growing demand for artificial intelligence. Optical processors, which
compute with photons instead of electrons, can fundamentally accelerate the development …
compute with photons instead of electrons, can fundamentally accelerate the development …
Physics for neuromorphic computing
Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …
for information processing, capable of highly sophisticated tasks. Systems built with standard …
Photonic perceptron based on a Kerr Microcomb for high‐speed, scalable, optical neural networks
Optical artificial neural networks (ONNs)—analog computing hardware tailored for machine
learning—have significant potential for achieving ultra‐high computing speed and energy …
learning—have significant potential for achieving ultra‐high computing speed and energy …
[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Backpropagation algorithms and reservoir computing in recurrent neural networks for the forecasting of complex spatiotemporal dynamics
We examine the efficiency of Recurrent Neural Networks in forecasting the spatiotemporal
dynamics of high dimensional and reduced order complex systems using Reservoir …
dynamics of high dimensional and reduced order complex systems using Reservoir …
Physical reservoir computing—an introductory perspective
K Nakajima - Japanese Journal of Applied Physics, 2020 - iopscience.iop.org
Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …
processing capability has been an active research topic for many years. Physical reservoir …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …