However, current neural network based approaches often face slow convergence speeds and limited prediction capabilities for MPC-CBFs. To address these limitations, we propose a Recurrent Convex ...

This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

A total of 3353 recurrent cases were identified from a cohort of 56,642 women with a first-time stroke and were matched with 3353 controls. HealthDay News — For women with a history of ischemic stroke ...

THURSDAY, Aug. 21, 2025 (HealthDay News) -- For women with a history of ischemic stroke, use of vaginal estradiol tablets is not associated with an increased rate of recurrent stroke, according to ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

Abstract: In this work, a Recurrent Neural Network-based Open Model Interface (RNN-OMI) is proposed to enable AI-driven compact model (CM) to characterize the typical aging behavior of MOSFETs, ...

The FDA has approved a treatment for recurrent respiratory papillomatosis for the first time, signing off on Precigen’s immunotherapy Papzimeos.

Taylor Stanberry, a Naples native, won the 2025 Florida Python Challenge, removing 60 Burmese pythons. The annual competition aims to control the invasive python population in Florida. This is the ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...