The Madras HC is reviewing the use of an AI tool, Superlaw Courts, to identify specific issues in an arbitration case.

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

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...

SEO success depends on relevance, structure, usefulness, and long-term trustBooks explain why search works, making knowledge ...

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 ...

This repository provides code for a doubly robust algorithm for Proxy Causal Learning (PCL) using kernel methods, avoiding density ratio estimation. All code is written in Python 3 using the JAX ...

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 ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Core Facility Center, The University of Osaka, 1-2 Machikaneyama, Toyonaka, Osaka 560-0043, Japan Forefront Research Center, Graduate School of Science, The University of Osaka, 1-1 Machikaneyama, ...