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, ...

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 ...

River flow: New machine learning methods could improve environmental predictions Algorithm is 'taught' rules of the physical world to help researchers make better predictions ...

Machine learning could be particularly time-saving in transportation and logistics. Shipping companies can use OCR to read detailed order information from a bill of lading, again automatically ...

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 ...