IEEE

Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs

Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...

Google Project Genie lets you create interactive worlds from a photo or prompt

World models like Genie 3 create a video that responds to your control inputs, allowing you to explore the simulation as if ...

Meet Project Genie from Google, a 'world model' it calls a stepping stone to AGI

Google has launched a new AI experiment called Project Genie, a tool that lets users build their own interactive virtual ...

I built marshmallow castles in Google’s new AI-world generator

Starting Thursday, Google AI Ultra subscribers in the U.S. can play around with Project Genie, which is powered by a ...

Punxsutawney Phil set to make 130th prediction. How often is he right?

Punxsutawney Phil is set to make his 130th prediction since 1887. What is the groundhog's track record and accuracy rate for ...

Decart’s New Lucy 2 Generative AI Video Model Pushes Generative Video Into Real Time

Decart unveils Lucy 2, a real time world model generating live video at 1080p with no buffering, opening new paths for ...
DIGITIMES

Nvidia launches open models to speed weather forecasting

Nvidia, on January 26, unveiled a new family of open-source AI models aimed at making weather forecasting faster and less ...
IEEE

Multiple Orders Remaining Completion Time Prediction Based on Digital Twin and Spatiotemporal Multi-Graph Network Cascade Algorithm

Abstract: In discrete manufacturing systems, the concurrent production of customized orders increases the complexity of multi-order remaining completion time (MORCT) prediction. Most existing methods ...