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

Abstract: Efficient rigid-body dynamics algorithms are instrumental in enabling high-frequency dynamics evaluation for resource-intensive applications (e.g., model predictive control, large-scale ...

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 ...

Objective: Acute respiratory distress syndrome (ARDS) is a common complication in patients with non-pulmonary sepsis. Early identification and prediction of the occurrence of ARDS in non-pulmonary ...

We are using BiconnectivityInspector to detect bridges and cutpoints in DAGs. Unfortunately we are hitting the stack-size limit due to the algortihm being implemented resursively and had to increase ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

While Artificial Intelligence (AI) has emerged as groundbreaking and significantly impacting various sectors and enhancing quality of life, the chasm between technological advancements and the law is ...

Survival outcomes of whole pelvic vs. bladder-only radiation in muscle-invasive bladder cancer: A nationwide large-scale study. Cumulative incidence rates by type of recurrences (N = 5,490) 1. 1 ...

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

Philadelphia, April 17, 2025 – Researchers from Children’s Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully ...