Microsoft Builds A Compact AI Model That Decides When To Think

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Polymer-chemistry dataset created for training AI models

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

I used Nano Banana 2 to make perfect sketchnotes: 5 lessons learned (and how I broke Gemini)

The results were fascinating, impressive, and sometimes surprisingly bad. Here are five tips that can help you get better results faster.
IEEE

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs

Abstract: This study proposed a knowledge graph entity extraction and relationship reasoning algorithm based on a graph neural network, using a graph convolutional network and graph attention network ...
IEEE

A Hybrid Graph Neural Network Model for Predicting Cyber Attacks From Heterogeneous and Dynamic Network Data

Abstract: With valuable data constantly under attack, reactive security measures are no longer sufficient. Predicting cyber threats before they emerge is crucial. Cyberattacks do not occur randomly; ...