GitHub

Introduction to artificial neural networks in Python

This repository is a fork from https://github.com/carpentries-incubator/machine-learning-neural-python, an excellent introduction to ML for images. This half-day ...
War on the Rocks

The Hizballah Predicament: Why An Integrated Approach Is Necessary

What can leaders do about a transnational organization that is a militia, a political party, a social services network, and a smuggling operation at the same time — and one that has resisted various ...
GitHub

NCP — Neuro-Cybernetic Protocol

NCP is a versioned, transport-agnostic wire contract that lets a running NEST network — point neurons (spiking, binary) and rate-based models — serve external robot, UAV, and analysis clients — for ...
Frontiers

Neural time course of processing socially meaningful symbolic cues: ERP differences between national-symbol and neutral-object icons

Socially meaningful symbolic cues are common in everyday visual environments, yet the timing with which they diverge from neutral objects during neural processing remains unclear. This study examined ...
IEEE

A Physics-Informed Neural Network Framework for Real-Time Model Predictive Shape Manipulation of Deformable Linear Objects

Abstract: Shape control of deformable linear objects (DLOs) is a major challenge in robotics due to their high-dimensional, nonlinear dynamics and sensitivity to boundary conditions. Existing ...
IEEE

A Text-Guided Graph Neural Network for Predicting Long-Range Trajectories of Sea-Surface Objects

Abstract: The sea-surface environment is influenced by various factors, such as wind, waves, tides, and ocean currents. Interactions among various factors, combined with heterogeneous spatiotemporal ...