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

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

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 ...

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

In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

He said: “Having access to data from the 10-year LSST will revolutionise astronomy and it is very exciting to think that we ...

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 ...

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

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...