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Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
IEEE

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach

Abstract: The technology of the brain-computer interface (BCI) employs electroencephalogram (EEG) signals to establish direct interaction between the human body and its surroundings with promising ...
IEEE

Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection

Abstract: Deep autoencoder (AE) has demonstrated promising performances in visual anomaly detection (VAD). Learning normal patterns on normal data, deep AE is expected to yield larger reconstruction ...