Building a utility-scale quantum computer that can crack one of the most vital cryptosystems—elliptic curves—doesn’t require ...

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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems. The approach of representing linear systems by non-parametric subspace ...

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 ...

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 ...

We often think about the impact AI is making on profitable businesses and even governmental organizations, but AI is also making significant contributions to the operations and success of non-profit ...