Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

AI is reengineering drug discovery by speeding up testing and scanning petabytes of data

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...
IEEE

ARPY: Enhancing Novice Python Comprehension by Addressing Learning Difficulties through Design-Focused, Interactive Augmented Reality Visualization

Abstract: The integration of Augmented Reality (AR) technology into education has the potential to revolutionize the way programming languages, such as Python, are taught. This research explores the ...
IEEE

Temporal Preprocessing and Ensemble Learning for Real-Time Fault Detection in Chemical Process Systems: A Data-Driven Approach on Tennessee Eastman Benchmark

Abstract: Chemical process industries require robust fault detection systems to ensure operational safety, product quality, and environmental compliance. However, existing methods face three critical ...
Analytics Insight

10 Essential Exploratory Data Analysis Methods to Master in 2026

Overview: EDA techniques can help you translate your data into useful and actionable insights.Discover how top analysts uncover patterns, eliminate errors, and ...