Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
AZoRobotics on MSN

AI Helps Scientists Pinpoint Where Groundwater is No Longer Safe in India

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Analytics Insight

AI Agents for Data Scientists: How to Use Them in 2025

Overview AI agents automate repetitive workflows, empowering data scientists to focus on strategic, high-value ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
C&EN

Evaluating Machine Learning Models for Molecular Property Prediction: Performance and Robustness on Out-of-Distribution Data

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
Live Science

Japanese power breakthrough could be 'step toward a fully wireless society'

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...
IEEE

Optimal Transport-Based Domain Alignment as a Preprocessing Step for Federated Learning

Abstract: Federated learning (FL) is a subfield of machine learning that avoids sharing local data with a central server, which can enhance privacy and scalability. The inability to consolidate data ...