Abstract: This work proposes a neuromodulation-inspired spiking neural network using a ReRAM memory. A stashing-merging algorithm is realized to mimic the inherent neuromodulation in humans. While ...

These efforts are promising but limited. AI minds don't necessarily map to human concepts. Some believe that we need to ...

Abstract: Convolutional neural network (CNN)-based detectors for small targets on the sea surface have proven effective, yet their increasingly complex structures and high energy demands pose ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Introduction: Segmentation of echocardiograms plays a crucial role in clinical diagnosis. Beyond accuracy, a major challenge of video echocardiogram analysis is the temporal consistency of consecutive ...

Forward-looking: Traditional computer chips perform tasks by sending digital signals at regular clock speeds, but new experimental hardware uses microwaves for specialized workloads. The resulting ...

The Crypto24 ransomware group has been using custom utilities to evade security solutions on breached networks, exfiltrate data, and encrypt files. The threat group's earliest activity was reported on ...