Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
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 ...

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 quickly. At Kennesaw State University, Associate Professor of Information ...
Stuff South Africa

What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?

Edge computing”, which was initially developed to make big data processing faster and more secure, has now been combined with AI to offer a cloud-free solution. Everyday connected appliances from ...
Analytics Insight

Top Data Science Projects to Boost Your Resume in 2026

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...
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 identification to improve prevention and management strategies. Traditional 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.