Top Fiber Laser Cutting Machine Manufacturers Driving Innovation in Metal Fabrication

JINAN CITY, SHANDONG PROVINCE, CHINA, February 11, 2026 /EINPresswire.com/ -- The metal fabrication industry continues ...
Devdiscourse

AI systems can create competing ‘algorithmic worlds’ from same data

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
North Penn Now

Machine Learning Development Company Selection Framework for 2026

Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.
Nanowerk

When machine learning shows its reasoning, electrocatalyst discovery accelerates

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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 ...
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 ...
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 ...
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 ...