Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

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 ...

ABSTRACT: This paper presents a literature review on the concept of cooperation, tracing its development through three stages: biological/genetic, societal, and internal. Using a descriptive and ...

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 ...

Prospective Evaluation of the Pathologic Diagnosis and Treatment Outcomes of Pediatric Burkitt Lymphoma in the Central American Pediatric Hematology-Oncology Association Consortium Fifty-two patients ...

When you’re trying to learn something new, it is useful to create desirable difficulties. You want to work hard without getting to the point of frustration. That work will signal to your brain that ...