The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Recent progress in artificial intelligence (AI) has boosted the computational possibilities in
fields in which standard computers are not able to perform adequately. The AI paradigm is to …

Analog photonic computing comprises a promising candidate for accelerating the linear
operations of deep neural networks (DNNs), since it provides ultrahigh bandwidth, low …

The explosive volume growth of deep-learning (DL) applications has triggered an era in
computing, with neuromorphic photonic platforms promising to merge ultra-high speed and …

Integrated neuromorphic photonic circuits aim to power complex artificial neural networks
(ANNs) in an energy and time efficient way by exploiting the large bandwidth and the low …

Reprogrammable optical meshes comprise a subject of heightened interest for the execution
of linear transformations, having a significant impact in numerous applications that extend …

Recently there has been growing interest in using photonics to perform the linear algebra
operations of neuromorphic and quantum computing applications, aiming at harnessing …

Microring resonators (MRRs) are promising devices for time-delay photonic reservoir
computing, but the impact of the different physical effects taking place in the MRRs on the …

The field of neuromorphic photonics has been projected to comprise the next-generation
Neural Network platform, expected to lead to remarkable advances in compute energy-and …

Fully CMOS-compatible photonic memory holding devices hold a potential in the
development of ultrafast artificial neural networks. Leveraging the benefits of photonics such …