A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Dubai, UAE, The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation of 130 students from ...

DUBAI, 17th February, 2026 (WAM) -- The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data. Every digital interaction.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Abstract: Deep learning models are widely used in data-driven applications due to their high predictive performance, but their lack of interpretability limits their applicability in domains requiring ...