Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are ...

It's a regrettable reality that there is never time to cover all the interesting scientific stories we come across each month ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Abstract: Machine learning is a subset of Artificial intelligence. Algorithms for machine learning automatically learn from experience and improve from it without being explicitly programmed. Machine ...

This paper presents a novel inverse design approach combining Convolutional Neural Networks (CNN) and Genetic Algorithm for metasurfaces. This method leverages CNN's advantages in feature extraction ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...