Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

Photonics offers exciting opportunities for neuromorphic computing. This paper specifically
reviews the prospects of integrated optical solutions for accelerating inference and training …

Ever‐growing demands of bandwidth, computing speed, and power consumption are now
accelerating the transformation of computing research, as work‐at‐home becomes a new …

In an age overrun with information, the ability to process reams of data has become crucial.
The demand for data will continue to grow as smart gadgets multiply and become …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

Emerging neuromorphic hardware promises to solve certain problems faster and with higher
energy efficiency than traditional computing by using physical processes that take place at …

The explosive growth of data and information has motivated various emerging non-von
Neumann computational approaches in the More-than-Moore era. Photonics neuromorphic …

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

Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …