How Zomato and Swiggy use AI-driven pricing, commissions and platform fees to turn food delivery into a scalable revenue ...

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...

1 School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China 2 Institute of Resources and Environmental Engineering, Guizhou Institute of Technology, Guiyang, Guizhou, ...

Much of the capital investment, a big jump from 2024, will fund expansion of Meta’s data centers, which provide the computing power needed by A.I. products and algorithms. By Mike Isaac Reporting from ...

Machine learning, particularly the training of large foundation models, relies heavily on the diversity and quality of data. These models, pre-trained on vast datasets, are the foundation of many ...