Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

What do mosquito populations and physical measurement data have in common? Both lead to a central problem in machine learning: the reliable estimation of class prevalence in the face of changing data.

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

AI-enabled measurement, intelligent packaging, advanced upcycling technologies, and bioaccessibility science are converging ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...