The future of skills: From knowledge acquisition to adaptive agility

As the world observes World Youth Skills Day, the occasion serves as a timely reminder of the critical role that skills play ...
InfoWorld

Pick your Python accelerator

With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...
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 ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
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 ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
IEEE

SDCNN: Self-Supervised Disentangled Convolutional Neural Network for Low-Dose CT Denoising

Abstract: Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this ...