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Aimed at AI/ML applications, Renesas’ RA8P1 MCUs leverage an Arm Ethos-U55 neural processing unit (NPU) delivering 256 GOPS ...
Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...
The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...
Emotions are caused by a human brain reaction to objective events. The purpose of this study is to investigate emotion identification by machine learning using electroencephalography (EEG) data.
Autoencoder based Temporal Convolutional Network for Anomaly Detection in Data Streams - IEEE Xplore
Nowadays, the rapid growth of data stream from different sources has needed the development of effective Anomaly Detection (AD) methods. The existing unsupervised Deep Learning (DL) approaches learnt ...
Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.
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