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 ...

Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...

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 ...

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 practice began in 1920s Western variety shows and spread to city speakeasies, but it faces increased scrutiny today—and pressure from conservation groups to make races safer for the reptiles. In ...