News

eLife

Morphogenesis: Regulating closure of the neural tube in humans

An organoid-based screening platform that allows one-gene-at-a-time knockdown across a whole tissue has been used to identify the genes that regulate closure of the neural tube in humans.

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
The Johns Hopkins News-Letter

Neural information processing in C. elegans: worming our way forward in neuroscience

How do brains turn environmental inputs into motor outputs? This question, known as the “black box” problem, has left ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
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 ...
IEEE

Barrier Function-Based Neural Network Adaptive Integral Sliding Mode Control for Multiaxle Steering Vehicles’ Lateral Dynamics Control

Abstract: To achieve precise lateral dynamics control for electric and autonomous vehicles under system model uncertainties and unknown external disturbances, this article introduces a novel barrier ...