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

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 ...

Introduction Undernutrition is a cause of nearly half of all deaths among children under 5 years old. Small-quantity ...

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

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

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

As residents raised affordability concerns, city council put off adoption of a tax rate classification, asking officials for ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Trader Joe's is the perfect place to shop for affordable wines that taste great. This time, we reviewed sparkling wines to ...

USC freshman wide receiver Tanook Hines is heading home with an opportunity few first-year players get this early in their ...