The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...

Research conducted at the University of Vaasa paves the way for smart packaging that indicates product condition through ...

Larry Bradley is CEO & co-founder of SolasAI, an AI SaaS platform fixing model bias for Fortune 50 firms across finance, tech ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

An automated machine-learning method that analyzed sleep movements recorded with a conventional 2D camera may improve diagnosis of rapid eye movement sleep behavior disorder, according to a study ...

Japanese researchers employed machine learning to develop a wireless power transfer system that remains stable under any load ...