The explosion of artificial intelligence and machine-learning algorithms, connected to the
exponential growth of the exchanged data, is driving a search for novel application-specific …

The burgeoning of artificial intelligence has brought great convenience to people's lives as
large-scale computational models have emerged. Artificial intelligence-related applications …

We present an adaptive optical neural network based on a large-scale event-driven
architecture. In addition to changing the synaptic weights (synaptic plasticity), the optical …

In the past decade, there has been tremendous progress in integrating chalcogenide phase-
change materials (PCMs) on the silicon photonic platform for non-volatile memory to …

The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …

Optical processing of information holds great promise for addressing many challenges
facing the field of computing. However, integrated photonic processors are typically limited …

The optical properties of phase‐change materials (PCMs) can be tuned to multiple levels by
controlling the transition between their amorphous and crystalline phases. In multi‐material …

The rapid development of artificial intelligence has stimulated the interest in the novel
designs of photonic neural networks. As three-dimensional (3D) neural networks, the …

In the era of relentless data generation and dynamic information streams, the demand for
efficient and robust temporal signal analysis has intensified across diverse domains such as …

Abstract Machine learning and artificial intelligence (AI) is becoming a ubiquitous
technology of the looming industry-4.0 era. However, progress of adopting intelligent …