Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of
attention lately due to its promise of reducing the computational energy, latency, as well as …

The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non–
von Neumann architecture that leverages contemporary silicon technology. To demonstrate …

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

The spiking neural network architecture (SpiNNaker) project aims to deliver a massively
parallel million-core computer whose interconnect architecture is inspired by the connectivity …

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating
large-scale neural models in real time. Neuromorphic systems realize the function of …

Several analog and digital brain-inspired electronic systems have been recently proposed
as dedicated solutions for fast simulations of spiking neural networks. While these …

Braindrop is the first neuromorphic system designed to be programmed at a high level of
abstraction. Previous neuromorphic systems were programmed at the neurosynaptic level …

The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …

The brain's connectivity is locally dense and globally sparse, forming a small-world graph—
a principle prevalent in the evolution of various species, suggesting a universal solution for …