Machine learning predictions and system updates in real-time. ... KSQL, or Spark Streaming, to process streaming data. Many people believe that online prediction is less efficient, ...

The process of machines learning from data unleashes the power of exploding resource. It uncovers what drives people and the actions they take. ... Machine Learning: Prediction, decision and action.

More information: Xinwei Su et al, Machine learning modeling assisted intelligent process analysis for high - performance virus filtration, Journal of Membrane Science (2025). DOI: 10.1016/j ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg.

To estimate currents and find divergences, oceanographers have used a machine-learning technique known as a Gaussian process, which can make predictions even when data are sparse.

Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

The project I was a part of, Tectonic, was using machine learning to advance earthquake prediction. The European Research Council was sufficiently convinced of its potential to award it a four ...