Morning Overview on MSN

Photonic AI chip targets faster convolutions with far less energy

Engineers at the University of Florida have built a photonic chip that performs convolutions, the most compute-heavy operation in modern AI, using light instead of electricity and delivering roughly ...
EurekAlert!

A domain generalization method for EEG based on domain-invariant feature and data augmentation

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...
IEEE

RRAM-Based Spectral-Domain Convolution Accelerator for Reliable and Energy-Efficient CNN Inference

Abstract: The growing computational demands of convolutional neural networks (CNNs) have motivated the use of spectral-domain inference as an alternative to costly spatial-domain convolutions. In this ...
IEEE

An Efficient-Energy Charge-Domain Convolution Operator for CNN

Abstract: This paper proposes a compact and low-power mixed-signal approach for implementing a convolutional operator in the charge domain. The circuit integrates a voltage divider with selector ...