Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

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.

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...

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

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 ...