Sensory feedback from touch is critical for many tasks carried out by robots and humans,
such as grasping objects or identifying materials. Electronic skin (e-skin) is a crucial …

Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

Neuro-inspired architectures based on synaptic memory arrays have been proposed for on-
chip acceleration of weighted sum and weight update in machine/deep learning algorithms …

The new era of cognitive computing brings forth the grand challenge of developing systems
capable of processing massive amounts of noisy multisensory data. This type of intelligent …

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …

IBM's brain-inspired processor is a massively parallel neural network inference engine
containing 1 million spiking neurons and 256 million low-precision synapses. Now, after a …

SpiNNaker (a contraction of Spiking Neural Network Architecture) is a million-core
computing engine whose flagship goal is to be able to simulate the behavior of aggregates …

Orbital occupancy control in correlated oxides allows the realization of new electronic
phases and collective state switching under external stimuli. The resultant structural and …

The multilevel capability of metal oxide resistive switching memory was explored for the
potential use as a single-element electronic synapse device. TiN/HfO x/AlO x/Pt resistive …

The bold and thrilling quest to finally understand the brain We know that each of us is
unique, but science has struggled to pinpoint where, precisely, our uniqueness resides. Is it …