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 ...
IEEE

Adaptive Recursive Decentralized Cooperative Localization for Multirobot Systems With Time-Varying Measurement Accuracy

Abstract: Decentralized cooperative localization (DCL) is a promising method to determine accurate multirobot poses (i.e., positions and orientations) for robot teams operating in an environment ...
Ventureburn

Recursive Superintelligence Raises $500M Funding Round

Recursive Superintelligence aims to eliminate human intervention in the AI training process, creating a system that autonomously improves its own code and architecture. The round was led by GV (Google ...
the-decoder

Self-improving AI startup Recursive Superintelligence pulls in $500 million just four months after founding

Recursive Superintelligence, a four-month-old AI startup, has raised at least $500 million at a $4 billion pre-money valuation. GV (formerly Google Ventures) led the round, with Nvidia joining in, ...