Roles that barely existed a few years ago, such as large language model (LLM) specialists, AI product leads and data pipeline ...

Abstract: Indoor positioning systems based on ultrawideband (UWB) technology are gaining recognition for their ability to provide cm-level localization accuracy. However, these systems often encounter ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Machine Learning algorithms implemented from scratch using Python. Covers both supervised and unsupervised learning with datasets and notebooks. Python implementations of core machine learning ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the ...

Abstract: Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distribution ...

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...