How a simple animal folds itself with origami-like precision

Studying one of the simplest animals, Stanford's Prakash Lab uncovered how it folds itself into complex shapes—revealing new ...
psypost.org

Distinct neural pathways link fear of missing out and negative emotions to compulsive phone use

A new study published in Computers in Human Behavior suggests that specific structural and functional patterns within the brain’s default mode network can predict the severity of problematic ...
GitHub

Deep Learning Neural Network for Chaotic Systems

Hiya, this will be a guide for my senior design project that spans two semesters Senior Design I (Spring 2019), and Senior Design II (Fall 2019), at Purdue University - Northwest. This project ...
C&EN

Integrated Design and Scheduling of Hydrogen Processes under Uncertainty: A Quantile Neural Network Approach

Department of Computing, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K. Department of Computing, Imperial ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part I: Circuit Design and Convergence Analysis

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
techxplore

Curved neural networks enable AI memory recall through geometric design

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...
Frontiers

Visible neural networks for multi-omics integration: a critical review

Background: Biomarker discovery and drug response prediction are central to personalized medicine, driving demand for predictive models that also offer biological insights. Biologically informed ...
Good e-Reader

How E-Reading Apps Use Neural Networks to Adapt Text to the Reader’s Level

E-reading apps have experienced a significant rise in popularity over the past several years, with individuals utilizing these platforms to enhance their educational, leisure, and language learning ...