Why India's Credit Gap Won't Be Closed by Better Machine Learning

India's formal credit system has a structural blind spot. Approximately 500 million adults — nearly the entire working ...
Analytics Insight

AutoML in 2026: How It Transforms Data Science Processes

Overview: AutoML is transforming data science by automating data preparation, feature engineering, model selection, and deployment workflows across enterprises.
IEEE

Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data

Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
Digital Trends

Perplexity AI turns into tutor with new language learning feature

What’s happened? Perplexity AI just dropped a new language learning feature built right into its platform. In a post shared on social media, the company announced a tool that helps users learn by ...
Frontiers

An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction

High-entropy alloys (HEAs) have attracted significant attention due to their excellent mechanical properties and broad application prospects. However, accurately predicting their mechanical behavior ...
Scientific Research Publishing

Machine Learning-Based Selection of Key miRNA Biomarkers for Breast Cancer Diagnostics ()

MicroRNAs (miRNAs) play a pivotal role in gene expression regulation and are closely linked to cancer development. In this study, we employ machine learning techniques to identify critical miRNA ...
Frontiers

Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction

Mesoscale eddy mixing significantly influences ocean circulation and climate system. Coarse-resolution climate models are sensitive to the specification of eddy diffusivity tensor. Mixing ellipses, ...
Scientific Research Publishing

Neeraj, N., Kumar, N. and Maurya, V.K. (2020) A Review on Machine Learning (Feature Selection, Classification and Clustering) Approaches of Big Data Mining in Different Areas ...

ABSTRACT: This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for ...