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

Artificial intelligence tasks across numerous applications require accelerators for fast and
low-power execution. Optical computing systems may be able to meet these domain-specific …

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

Data transport across short electrical wires is limited by both bandwidth and power density,
which creates a performance bottleneck for semiconductor microchips in modern computer …

With the explosive growth of mathematical optimization and computing hardware, deep
neural networks (DNN) have become tremendously powerful tools to solve many …

Memory cells have always been an important element of information technology. With
emerging technologies like big data and cloud computing, the scale and complexity of data …

Today's heavy machine learning tasks are fueled by large datasets. Computing is performed
with power-hungry processors whose performance is ultimately limited by the data transfer …

The book being reviewed is devoted to the rapidly developing in recent years section of
nonlinear optics and applied quantum electronics—the selfactions and interactions of light …

The various arguments for introducing optical interconnections to silicon CMOS chips are
summarized, and the challenges for optical, optoelectronic, and integration technologies are …

In this paper III‐V on silicon‐on‐insulator (SOI) heterogeneous integration is reviewed for
the realization of near infrared light sources on a silicon waveguide platform, suitable for …