Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.

A systematic review of 78 papers examines how machine learning methods support demand forecasting and inventory ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

A hybrid deep learning framework that combines unsupervised feature extraction with supervised regression outperformed a ...

Imagine a child visiting a farm and seeing sheep and goats for the first time. Their parent points out which is what, helping the child learn to distinguish between the two. But what happens when the ...

Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn complex social-media, financial, organizational, e-commerce, database, and ...