Enhanced oil recovery (EOR) is a method used to extract oil beyond primary and secondary techniques. Explore different EOR ...

Yes, that's right — 2016 has reappeared across our feeds. A decade on, the year is being recast as the last moment before ...

The first time Twitter's algorithm was largely open-sourced was in 2023. Elon Musk, the billionaire owner of Tesla, had just ...

Abstract: For the interpretability of deep neural networks (DNNs) in visual-related tasks, existing explanation methods commonly generate a saliency map based on the linear relation between output ...

To make the tool more educational, we should display a brief explanation of the algorithm that is currently selected in the dropdown. This helps users understand what they are visualizing. Task: Use ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

In cheminformatics, where machine learning is transforming our understanding of how molecular properties are predicted and explained, a critical challenge has long remained: making these powerful but ...

Abstract: Customer churn prediction is critical for businesses to retain customers and maintain revenue. In this paper, we compare three counterfactual explanation methods: Watcher's Method, Sphere ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

On April 18, 2025, the U.S. Court of Appeals for the Federal Circuit issued a precedential opinion in Recentive Analytics, Inc. v. Fox Corp. 1 The Federal Circuit held that the Asserted Patents 2 — ...