Key Takeaways OpenAI's breakthrough started with brain-inspired networks everyone can learnFinancial institutions pay ...

Machine learning (ML) and deep learning (DL) algorithms now enable robust, non-invasive authentication. Tools such as ...

Discover a study that has demonstrated the potential of using AI to predict jaundice by analysing scleral images and urine ...

In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

Ocean color remote sensing (OCRS) provides crucial insights into marine ecosystems, detecting phytoplankton blooms, measuring ...

including the random forest algorithm, may face the difficulty in maintaining and processing all the required data in the main memory. Instead, intensive data movements (i.e., data swappings) between ...

random forests, and neural networks, significantly contributed to epitope scoring. These approaches advanced the identification of epitopic regions capable of eliciting robust immune responses (30, 32 ...

In this paper, we propose a multi-dimensional context-aware recommendation approach based on improved random forest (MCRIRF) algorithm. The MCRIRF first improves the random forest algorithm by ...

Image processing is the manipulation of digital images through computational algorithms to enhance or extract useful information from them. It can transform an input image into either an improved ...

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