Recent advances in machine learning have markedly enhanced the forecasting of groundwater levels, a critical factor in managing dwindling water resources worldwide. The integration of ...

Researchers used satellite data to map air pollution across Ghana from 2003-2019, finding higher levels in the southwest likely due to vegetation & mining.

Deep Learning (DL): A subset of machine learning that employs multi-layered neural networks to model high-level abstractions in data.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

For patients who received oxygenation that fell within the target range the machine learning model predicted to be beneficial for them, mortality could have decreased by 6.4% overall.

While traditional landslide prediction methods often rely solely on rainfall intensity, the new approach integrates various water-related processes with a machine-learning model.

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research ...

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...