Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

How Can Organizations Effectively Manage Non-Human Identities (NHIs) to Enhance Cloud Security? Have you ever wondered how machine identities fit into the broader framework of cybersecurity? Managing ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

How Do AI-Driven Cybersecurity Tools Transform Non-Human Identity Management? Where technology constantly evolves, how do organizations manage the security of their non-human identities (NHIs)? These ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...