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

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

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between machine precision and human judgment.

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

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS ...

AI promises to make hiring fairer by reducing human bias, yet it often reshapes what fairness means—and locks in one definition. A three-year study of a global consumer-goods firm found that their ...