For AI-driven fortune-telling to improve, models require training on high-quality, structured, real-world cases, and such ...

Introduction Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Snowflake is addressing the complexity of migrating legacy data systems into the Snowflake ecosystem with SnowConvert AI, a ...

AI workload demands continue to expand, with generative AI a driver of further investment in infrastructure. As organizations ...

The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a ...

Researchers at Helmholtz Munich and the Technical University of Munich have developed a new microscope that significantly ...

Abstract: Image compression method classifies the acquisition image and converts to grayscale image ($\text{P}=0.000$) using Support Vector Machine (SVM) compared with Decision Tree method. Peak ...

A Literature Review on Natural Language Processing Techniques for Qur'anic Studies: Challenges and Insights in Audio and Acoustic Signal Processing Alia Al-Shidi Farah Hani Bt Nordin Izzeldin I ...