Process analytical technology enables data-driven scale-up by embedding real-time analytics from development through ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Geographical Gaussian Process Regression (GGPR): A Spatial Machine Learning Model Based on Spatial Similarity: defined as A-Xing Zhu et al. (2018): "The more similar geographic configurations of two ...

June, 2026 – As organizations continue to expand their digital infrastructure, data centers have become critical envir ...

AI is changing the way music is created, licensed, and discovered. Viberate thinks it is about to change how the industry ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

QuantRate opens free access to its AI trading bot, giving investors a simpler way to review market signals, test ...

A research team led by Kyung Mun Min and Seonghwan Choi of Materials Processing Research Division (Korea Institute of ...

Venture capital firms are using AI the wrong way, argues Gilion's Henrik Landgren, who says that building better data infrastructure and connecting directly to sources like financial, payment and ...