Novel computational paradigms may provide the blueprint to help solving the time and
energy limitations that we face with our modern computers, and provide solutions to complex …

The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …

In recent years, deep learning algorithms have become increasingly more prominent for
their unparalleled ability to automatically learn discriminant features from large amounts of …

This book gives insight into the emerging semiconductor devices from their applications in
electronic circuits. It discusses the challenges in the field of engineering and applications of …

The increasing power consumption in the existing computation architecture presents grand
challenges for the performance and reliability of very‐large‐scale integrated circuits …

Inspired by biology, significant advances have been made in the field of electronic skin
(eSkin) or tactile skin. Many of these advances have come through mimicking the …

Neuromorphic Computing (NC) is considered as the next generation of artificial intelligence
(AI). AI can transform the way people live and work, however, the current Neumann …

Tactile information is efficiently captured and processed through a complex sensory system
combined with mechanoreceptors, neurons, and synapses in human skin. Synapses are …

In the last decade, halide perovskites have seen tremendous advancements, primarily in the
field of solar cells and light-emitting diodes (LEDs). However, their remarkable optical and …

We report on the sparse neuromorphic computing based on spin-torque diodes (STDs). The
rectification characteristics of STDs have been investigated in the absence and presence of …