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; ...
IEEE

Dynamic Graph Convolutional Network With Spatiotemporal and Multiscale Feature Fusion for Multistep Traffic Flow Prediction

Abstract: Accurate multistep traffic flow prediction is crucial for intelligent transportation systems (ITS). Existing graph convolutional networks (GCNs) still have limitations. They struggle to ...
Broadcast

Foundry launches a “significant evolution” of Nuke - Nuke 17.0

The latest version of Foundry's compositing software brings native support for Gaussian Splats, and takes Nuke's new 3D system out of beta ...
Digital Production

Nuke 17.0 rewires 3D and adds Gaussian Splats

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.

Daily Search Forum Recap: February 25, 2026

Here is a recap of what happened in the search forums today, through the eyes of the Search Engine Roundtable and other search forums on the web. Google had a brief serving outage with Google Search ...
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...