Mathematical reasoning remains an ongoing challenge for AI models, especially for geometry problems, which require both linguistic and visual signals. As the vision encoders of most MLLMs are trained ...

This study investigates the vulnerability of dc microgrid systems to cyber threats, focusing on false data injection attacks (FDIAs) affecting sensor measurements. These attacks pose significant risks ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Scale AI's public Google Docs reveal sensitive information from clients like Meta and Google, raising concerns over data protection in AI projects.

Project Rainier is Amazon’s entry into a race by the technology industry to build data centers so large they would have been considered absurd just a few years ago.

Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms by John Peterson, The Conversation edited by Lisa Lock, reviewed by Andrew Zinin Editors' notes ...