AI extracts interpretable constitutive laws directly from solid-mechanics data

Ningbo, have developed a graph-based approach that directly extracts concise, accurate constitutive equations from ...
Security Boulevard

The Braid: Rethinking Trust, Continuity and Human-AI Systems

What one AI-generated image taught me about trust, continuity, and why I am building QuietWire.  There is a problem with AI ...
marktechpost

Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations

In this tutorial, we build a fully offline Graphify workflow that turns a realistic multi-module Python application into a knowledge graph. We start by installing Graphify and supporting graph ...
Mashable

Graphs, charts, presentations: How to use AI’s visual learning tools

Not long ago, creating a solid presentation, a clean infographic, or a sharp data visualization meant you either knew your way around design software or you paid someone who did. That has changed, ...
Search Engine Land

How to use the three-act structure for data storytelling

Data doesn’t persuade on its own. Structure your insights to show what’s working, what’s not, and what to do next. You’ve audited your client’s website and compiled performance data. You’ve identified ...
Hacker

Context Graphs, Ontologies, and the Race to Fix Enterprise AI

Got Tech, Data, AI and Media, and not afraid to use them. Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in ...
techxplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
EurekAlert!

A survey of geometric graph neural networks: data structures, models and applications

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...
letsdatascience

Spectral Clustering: Unlocking Complex Patterns with Graph Theory

Two interlocking crescents sit on your screen. You know they're two separate groups because your eyes trace the curves. But K-Means draws a straight vertical line down the middle, splitting both ...
Hacker

Knowledge Graphs Gain Traction as AI Pushes Beyond Traditional Data Models

Got Tech, Data, AI and Media, and not afraid to use them. Are graphs really the new star schema? What do graphs look like to non-insiders, and what is it that attracts them to the graph community, ...
techannouncer

Mastering LeetCode with Python: A Comprehensive Guide

Getting started with LeetCode can feel like a lot, especially if you’re just beginning your coding journey. So many problems, so many concepts – it’s easy to get lost. But don’t sweat it. This guide ...