By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...

Abstract: Solving discrete optimization problems is one of the most promising use cases on quantum computers. The libraries quark and quapps provide an easily usable, modular workflow to encode ...

In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...

Antimicrobial peptides (AMPs) come from various sources and exhibit unique antimicrobial properties. Their rapid action, effectiveness, and resistance to resistance development make them promising ...

Abstract: Optimization problems aim to identify the best solution from a wide range of possibilities. The Particle Swarm Optimization (PSO) algorithm is widely recognized for its simplicity and ...

ABSTRACT: Copulas are multivariate distribution functions with uniform marginal distributions. In this paper, we study a class of copulas called radial copulas, which is derived from residual ...

Quantum computers will one day outpace the fastest supercomputers on the planet, but what will they be used to accomplish? When you purchase through links on our site, we may earn an affiliate ...

In recent years, telecom operators have been forced to revisit their long-held strategies as lower-margin data traffic has begun overtaking higher-margin voice traffic. VoIP’s fast adoption is further ...