Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learning tasks. Their efficacy depends on architecture design, traditionally relying on deep learning ...

Abstract: With the increasing adoption of metaheuristic algorithms in uncrewed aerial vehicle (UAV) path planning, the problem has evolved into a challenging optimization task. To address offline and ...

The emerging field of Diverse Intelligence seeks to identify, formalize, and understand commonalities in behavioural competencies across a wide range of implementations, from biological organisms to ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

Artificial Intelligence (AI) has transformed how machines interact with and interpret the world, powering technologies from language models to autonomous systems. While AI is often associated with ...

Abstract: The twin delayed deep deterministic policy gradient (TD3) algorithm and genetic (G) algorithm can take significant time to converge. Hence, it would be interesting to propose an alternative ...

Differential Evolution (DE) stands as a potent global optimization algorithm, renowned for its application in addressing a myriad of practical engineering issues. The efficacy of DE is profoundly ...

Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...