ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...

Path planning plays a crucial role in many applications in robotics for example for planning an arm movement or for navigation. Most of the existing approaches to solve this problem are iterative, ...

To a layman, it may seem the wide use of robots in modern life implies that the motion-planning problem has already been solved. This is far from true. There is little to no autonomy in surgical ...

Abstract: We propose an online algorithm for sequential learning in the contextual multiarmed bandit setting. Our approach is to partition the context space and, then, optimally combine all of the ...