We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor Francesco ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect," said UC Santa Barbara mechanical engineering professor Francesco ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

The proposed method uses Autoencoder based Deep Neural Network (AEDNN) trained with NSL-KDD dataset to efficiently detect possible cyber threats. This paper proposed AEDNN to detect automated threats ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

Learns the normal patterns in network traffic data Automatically removes highly correlated features Detects anomalies based on reconstruction error Provides ...

It is worth noting neuromorphic computing is not synonymous with the deep neural networks (DNNs) already in wide use within industry – although there is growing interest in using the former to ...