Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Architects and designers are increasingly turning to AI-powered platforms to accelerate space planning, from generating floor plans in seconds to mapping adjacencies and creating visual presentations.

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Abstract: Evolutionary algorithms make countless random decisions during selection, mutation, and crossover operations. These random decisions require a steady stream of random numbers. We analyze the ...

Even Charles Darwin was puzzled by the evolution of the vertebrate eye. New research suggests that it traces back to a cyclopean invertebrate with a single eye atop the head. By Carl Zimmer Look at ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

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 ...

Today, those shouts have been replaced by quiet screens and lightning-fast computers. The evolution of stock trading has turned what was once a noisy, human-driven process into a digital network ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

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: Multi-area optimal power flow (OPF) considering valve-point loading effects (VPL) is a large-scale constrained optimization problem with non-convexity and non-differentiability. Existing ...