Event cameras are bio-inspired sensors that capture the per-pixel intensity changes
asynchronously and produce event streams encoding the time, pixel position, and polarity …

Abstract Spiking Neural Networks (SNNs) have attracted significant attention due to their
energy-efficient properties and potential application on neuromorphic hardware. State-of-the …

The security and privacy concerns along with the amount of data that is required to be
processed on regular basis has pushed processing to the edge of the computing systems …

Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …

As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical
applications, the security concerns in SNNs attract more attention. Currently, researchers …

Spiking Neural Networks (SNNs) have received widespread attention in academic
communities due to their superior spatio-temporal processing capabilities and energy …

The real-world use cases of Machine Learning (ML) have exploded over the past few years.
However, the current computing infrastructure is insufficient to support all real-world …

Robotic technologies have been an indispensable part for improving human productivity
since they have been helping humans in completing diverse, complex, and intensive tasks …

Spiking neural networks (SNNs) provide an energy-efficient alternative to a variety of
artificial neural network (ANN) based AI applications. As the progress in neuromorphic …

Event-based dynamic vision sensors provide very sparse output in the form of spikes, which
makes them suitable for low-power applications. Convolutional spiking neural networks …