Abstract: In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

According to DeepLearning.AI, Samsung’s Tiny Recursive Model (TRM) utilizes iterative answer refinement and maintains a context of previous changes to tackle complex grid puzzles such as Sudoku, Mazes ...

School of Physics and Optoelectronics, Xiangtan University, Xiangtan, Hunan, China Accurate reconstruction of optical fiber curves has important applications in fields like medicine, aerospace, and ...

The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Large language models (LLMs) rely on deep learning architectures that capture complex linguistic relationships within layered structures. Primarily based on Transformer architectures, these models are ...

The SMAWK algorithm is an efficient method for finding row minima in totally monotone matrices, a specific type of matrix where entries decrease or stay constant along each row and column. Developed ...

This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not ...

REC-3964 is Recursion’s first new chemical entity developed using the RecursionOS. REC-3964 represents a novel, non-antibiotic approach with a unique mechanism of action that binds and blocks ...