The volume, veracity, variability, and velocity of data produced from the ever increasing
network of sensors connected to Internet pose challenges for power management …

Graphene remains of great interest in biomedical applications because of biocompatibility.
Diseases relating to human senses interfere with life satisfaction and happiness. Therefore …

In resource-constrained environments, such as low-power edge devices and smart sensors,
deploying a fast, compact, and accurate intelligent system with minimum energy is …

Brain inspired artificial synapses are highly desirable for neuromorphic computing and are
an alternative to a conventional computing system. Here, we report a simple and cost …

Spiking, neuromorphic computing systems are in a period of active exploration by the
computing community. While they feature computational expressiveness beyond both von …

New device concepts and new computing principles are needed to balance our ever‐
growing appetite for data and information with the realization of the goals of increased …

In this work, we propose a multisensory mutual associative memory networks framework and
memristive circuit to mimic the ability of the biological brain to make associations of …

We propose a memristive interface consisting of two FitzHugh–Nagumo electronic neurons
connected via a metal–oxide (Au/Zr/ZrO2 (Y)/TiN/Ti) memristive synaptic device. We create a …

Neuromorphic computing is poised to become a promising computing paradigm in the post
Moore's law era due to its extremely low power usage and inherent parallelism. Traditionally …

Though robustness and resilience are commonly quoted as features of neuromorphic
computing systems, the expected performance of neuromorphic systems in the face of …