With the unique advantages that very low Earth orbit (VLEO) satellites have demonstrated in fields such as high-resolution remote sensing, the ...

Optimization problems rarely have a single right answer. In engineering design, scheduling, and machine learning, decision ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed a new modeling and optimization ...

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...

Abstract: Differential Evolution (DE) algorithm, as a state-of-the-art population-based stochastic optimizer for continuous non-convex search spaces, can adaptively balance exploration and ...

When tools like ChatGPT first launched, they weren’t even connected to the internet. No real-time knowledge, no live queries, just pretrained data with a cutoff point. Two years later, Perplexity, a ...

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 ...

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 ...

Research published in Nature Ecology & Evolution introduces a novel method for inferring DNA methylation patterns in non-skeletal tissues from ancient specimens, providing new insights into human ...