A recent study from King's College London has raised alarm over artificial intelligence decision-making in geopolitical scenarios, revealing that advanced AI models frequently relied on nuclear ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

TOKYO, Sept 11 (Reuters) - A simulated Federal Reserve meeting that used artificial intelligence agents modeled on real-life policymakers showed political pressure polarised members of the board in ...

National Institute for Nanomaterials Technology (NINT), Pohang University of Science and Technology (POSTECH), Pohang, Geyonsangbuk-do 37673, Republic of Korea ...

Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA sequence. When you purchase through links on our site, we may earn an affiliate ...

Abstract: The main purpose of the article is to describe how simulated annealing concept can be applied in molecular structure optimizations. Simulated annealing is a metaheuristic optimization method ...

Personalized cancer treatment requires precise scheduling of multiple therapeutic agents under biological constraints. Optimizing such regimens is especially challenging due to the nonlinear dynamics ...

Combinatorial optimization problems (COPs) arise in various fields such as shift scheduling, traffic routing, and drug development. However, they are challenging to solve using traditional computers ...

Abstract: In this study, we check the performance of traditional AODV (Ad-hoc On-Demand Distance Vector), MAODV (Multicast AODV), and a proposed Simulated Annealing (SA)-Optimized Routing protocol in ...