For beyond fifth-generation (5G) and future wireless communications, spatial consistency that represents the correlation between propagation channel characteristics in close proximity has become one ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. ... Using machine learning models to ...

Adjoint Sampling is a new learning algorithm for generative models based on scalar rewards, announced by AI at Meta on May 20, 2025. It impacts crypto markets by boosting sentiment for AI-focused ...

Scientists are developing artificial intelligence and machine learning tools for improving the operations of particle accelerators, such as with Jefferson Lab’s Continuous Electron Beam ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

Abstract: Based on experimental results the predictive accuracy of Random Forest, Decision Tree, and XGBoost was much higher than the Linear Regression algorithm in EV Charging Management using ...

Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree classifier, random forest classifier (RF), support vector machine, K-nearest neighbour, ...