eLife

Feedback control of recurrent circuits imposes dynamical constraints on learning

This important study uses a feedback-driven recurrent neural network framework to explore the dynamics underlying learning of BCI decoder perturbations. With convincing evidence, the authors ...
IEEE

Residual Feedback Neural Network Calibration for a 12-bit 1-GS/s Pipelined-SAR ADC

Abstract: This article presents a residual feedback neural network (RFNN) calibration technique for a pipelined-SAR analog-to-digital converter (ADC), which corrects the interstage gain error, ...
IEEE

Scalable-Predictive Beamforming for Integrated Sensing and Covert Communications: A Recurrent Graph Neural Network Approach

Abstract: This paper investigates a general integrated sensing and covert communication (ISCC) system, where a base station (BS) transmits signals to covert users (CUs) while simultaneously sensing a ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...