Researchers at the University of Sydney have built a photonic AI chip that processes neural network tasks at the speed of light while generating far less heat and consuming far less power than ...

Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they ...

Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...

Computational imaging has the potential to revolutionize optical imaging by providing wide field-of-view and high-resolution capabilities. Joint reconstruction of amplitude and phase — known as ...

Researchers report building photonic computing chips that use light pulses to train spiking neural networks on ...

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an efficient and secure medium for applications such as internet communication ...

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the ...

An AI neural network that uses light instead of electricity. Optical neural networks (ONNs) offer the potential for higher speed because regular chips can only trigger a limited number of transistors ...

Principal Research Fellow at AI and Cyber Futures Institute, Charles Sturt University Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance.

Bruker‘s recently released NeuraLeap™ digital focusing module provides their flagship Ultima 2Pplus multiphoton microscopes the groundbreaking imaging speed to access different layers of the cortex.