How RecursiveMAS speeds up multi-agent inference by 2.4x and reduces token usage by 75%

UIUC and Stanford's RecursiveMAS lets AI agents collaborate in embedding space instead of text, cutting token usage by 75% ...

Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I.

Recursive Superintelligence, founded by former Google, Meta and OpenAI researchers, is part of a growing effort to automate ...
IEEE

Recursive Feature Elimination for Machine Learning-based Landslide Prediction Models

Abstract: This paper proposes a landslide prediction model which uses the recursive feature elimination method, which is one of the key feature selection methods in machine learning that is not tested ...