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 ...
SiliconANGLE

Recursive Superintelligence raises $650M to build self-improving AI models

Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched today with $650 million in funding. Alphabet Inc.’s GV fund and Greycroft led ...
The New York Times

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to automate the creation of artificial intelligence. Anna Goldie and Azalia ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
marktechpost

Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for ...

Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat ...
IEEE

2D DOA Estimation for Multiple Parallel Sparse Linear Arrays via Recursive Roots Finding

Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed in two-dimensional (2D) or three-dimensional (3D) space, offering a unique advantage by enabling easy conformal ...
PNAS

Linear Recursive Feature Machines provably recover low-rank matrices

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...