Photonics market growth is accelerating toward an $839 billion valuation. AI data center expansion is the primary stock-price ...

China has launched a new research laboratory dedicated to photonic computing, a technology that ...

Q.ANT successfully demonstrated a diffusion model and a recurrent neural network on its second-generation Native Processing Unit (NPU) at ISC High Performance 2026 in Hamburg. This proves that Q.ANT’s ...

Optical systems are becoming essential to modern computing as data centers require faster transmission, stronger connectivity ...

Shanghai lab backed by Jiao Tong University and startup Lightelligence aims to build light-based AI chips as Beijing seeks alternatives to restricted US semiconductors.

Chinese researchers have developed a programmable quantum computing prototype that solved a complex mathematical problem ...

Leading semiconductor test equipment supplier Advantest Corporation (TSE: 6857) and OpenLight, a leader in heterogeneous silicon photonics integration and custom Photonic Application-Specific ...

Recent significant developments include bigger qubit systems and improvements in error correction. By improving algorithms ...

A silicon photonic deep optical neural network integrating convolutional and fully connected layers with on-chip optoelectronic nonlinear activations operates with partially coherent light to achieve ...

On May 24, CNBC reported that AI developers are now increasingly turning to photonics to fix data transfer bottlenecks ...

The burgeoning volume of parameters in artificial neural network models has posed substantial challenges to conventional tensor computing hardware. Benefiting from the available optical ...

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...