unite

Recursive Superintelligence Raises $650 Million to Pursue Self-Improving AI

A new frontier AI company called Recursive Superintelligence has emerged from stealth with $650 million in funding and an unusually ambitious goal: building AI systems capable of improving themselves ...
IEEE

Recursive Confidence Training for Pseudo-Labeling Calibration in Semi-Supervised Few-Shot Learning

Abstract: Semi-Supervised Few-Shot Learning (SSFSL) aims to address the data scarcity in few-shot learning by leveraging both a few labeled support data and abundant unlabeled data. In SSFSL, a ...
The New York Times

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 the creation of artificial intelligence. By Cade Metz Reporting from San ...
the-decoder

AI startup Recursive emerges from stealth with $650 million to build self-improving AI

AI startup Recursive has officially emerged from stealth, calling recursive self-improvement the "fastest path to superintelligence." "The fastest path to superintelligence will be realized by AI that ...
GitHub

A Researcher&Agent-Friendly Framework for Time Series Analysis.

Train Any Model on Any Dataset. 📊 Time series analysis leaderboard is now available on our 🤗 Hugging Face space. Discover the performance of different models! This is also the official repository ...
IEEE

An Ensemble Convolutional Recursive Neural Network Based on Deep Reinforcement Learning for Traffic Volume Forecasting

Abstract: Intelligent transportation systems are of great significance to urban sustainable development and management. As a crucial element of an intelligent transportation system, traffic volume ...
GitHub

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

SkillRL is a framework that enables LLM agents to learn high-level, reusable behavioral patterns from past experiences. While traditional memory-based methods store redundant and noisy raw ...