We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

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

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

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 ...

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 ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...