Quantum computing represents an existential threat to modern cryptographic defenses, particularly for non-human identities—machines, IoT devices, workloads, applications, services and APIs—which rely ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

1. We have improved the inertial weight and learning factors in conventional particle swarm optimization algorithms through dynamic adjustment mechanisms to enhance global search capability. 2. The ...

With more than 2 billion users, Instagram has emerged as the go-to alternative to traditional social media as well as photo and video sharing websites like Facebook, Imgur and others. However, some ...

Guidelines and testing algorithms are available to help you ... patient's ability to tolerate standard lung resection. Alternatives to standard lung resection, including lung volume reduction ...

To this end, a surrogate-assisted multi-phase ensemble feature selection algorithm with particle swarm optimization (SMEFS-PSO) is proposed, which combines the strengths of filter-based feature ...

t-Distributed Stochastic Neighbor Embedding with Particle Swarm Optimization (TSNE-PSO) is an enhanced version of t-SNE that uses Particle Swarm Optimization instead of gradient descent for the ...

In this paper, a Particle S warm Optimization (PSO) algorithm with priority-based encoding scheme based on fluid neural network (FNN) to search for the shortest path in stochastic traffic ne tworks is ...