blockchain

Samsung’s Tiny Recursive Model (TRM) Outperforms Leading LLMs in Grid Puzzle AI Benchmarks

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 ...
GitHub

mauriciomm7/text_ranking_tool

TextRankingTool-Mac-v1.0-Complete/ ├── Intel/ # For Intel Macs (2020 and earlier) │ └── TextRankingTool # Executable for Intel Macs ├── AppleSilicon/ # For Apple Silicon Macs (M1/M2/M3) │ └── ...
Frontiers

Visual recursion without recursive language? a case study of a minimally verbal autistic child

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.
Nasdaq

MicroAlgo Inc. Unveils Quantum Information Recursive Optimization (QIRO) Algorithm for Enhanced Combinatorial Optimization Solutions

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

Relaxed Recursive Transformers with Layer-wise Low-Rank Adaptation: Achieving High Performance and Reduced Computational Cost in Large Language Models

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 ...
BioSpace

Recursion announces first patient dosed in Phase 2 clinical study of REC-3964, a potential first-in-class, oral, non-antibiotic small molecule for recurrent Clostridioides ...

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 ...
Scientific Research Publishing

Non-Recursive Base Conversion Using a Deterministic Markov Process ()

We prove that non-recursive base conversion can always be implemented by using a deterministic Markov process. Our paper discusses the pros and cons of recursive and non-recursive methods, in general.