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

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 ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Here Are the States That Won't Tax ...

Abstract: In this paper, an evolutionary algorithm (EA)-based approach for the design of low-power low-drop-out (LDO) voltage regulators is advanced. The optimal performance of LDO regulators usually ...

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 ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

Community driven content discussing all aspects of software development from DevOps to design patterns. One of the Java platform’s enduring strengths has always been its ecosystem. Since the early ...

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 ...