This study reveals for the first time the essential mechanism of tool-integrated reasoning through rigorous mathematical proof and develops a novel training algorithm that enables AI to utilize tools ...

This research reveals, for the first time, the essential mechanisms of tool-integrated reasoning through rigorous ...

Game-changing innovations and hyped trends tend to be singular events. At the moment, three next-big-thing trends are ...

Sanyal, P. and Ehlen, M. (2025) The Why and How of Abolishing the Fractional Reserve Banking System: A Modest Proposal *.

Hashimoto H, Yagiura M, Ibaraki T (2008) An iterated local search algorithm for the time-dependent vehicle routing problem with time windows. Discrete Optim. 5:434-456.

computational complexity For Algorithms, a Little Memory Outweighs a Lot of Time One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in ...

Any time-series dataset that needs anomaly detection can utilize EMOD. “I’m most eager to see EMOD applied to monitoring complex real-world systems—especially those where anomalies can have critical ...

STaR Algorithm (Self-Taught Reasoner) In test-time compute, the STaR algorithm can iteratively refine a model's reasoning during inference by generating multiple solutions, evaluating them, and ...

Time and space complexity are terms used in computer science to analyze the efficiency of algorithms. Time Complexity measures the amount of time an algorithm takes to complete as a function of the ...

To improve the algorithm performance of mixed integer programming, determining the state of some integer variables in advance is the most direct and effective method. In this paper, we propose a ...