These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

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 ...

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

For years, Google’s predictable, and at times too easily gamed, ecosystem created an illusion that SEO success came from creating any and all content and checking boxes rather than understanding users ...

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: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...

This code was used for the AIMC'25 paper "Using Large Language Models as Fitness Functions in Evolutionary Algorithms for Music Generation". The code was tested on Ubuntu 20.04, 22.04, and 24.04 and ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

The cyclical, now AI-fueled, “SEO is dead” panic cycle is in full swing. But here’s what most of those headlines miss: Search isn’t a platform, it’s a behavior. Whether people are typing into Google ...