Devdiscourse

AI failures start with bad data

The study An actionable framework for AI-ready data, published in AI Magazine, presents a practical roadmap for strengthening the foundations of artificial intelligence. It details how organizations ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Edge Computing for Real-Time IoT Data: Architectures and Technology Innovations

This scholarly article examines the conceptual foundations, architectural models, enabling technologies, real-time processing frameworks, application domains, performance considerations, security ...
Kennesaw State University

Supercomputing research at KSU speeds up the path to scientific discovery

From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data ...
BOOM on MSN

What edge AI means for the future of connected infrastructure and intelligent automation

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
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.
Data Center Frontier

From Lab to Gigawatt: CoreWeave’s ARENA and the AI Validation Imperative

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...