Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

President Bola Ahmed Tinubu on Wednesday wrote the House of Representatives seeking approval of the parliament to put an end to the era of multiple budget implementation. The President is seeking the ...

1 Department of Computer Science, University of Mary Washington, Fredericksburg, USA. 2 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, USA. This paper explores ...

This dataset is a subset of the full NASDAQ 100 stock dataset used in [1]. It includes 105 days' stock data starting from July 26, 2016 to December 22, 2016. Each day contains 390 data points except ...

Please provide your email address to receive an email when new articles are posted on . ACOG recommends concurrent sexual partner therapy with antimicrobial agents for some patients with recurrent ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

This work presents an implementation of YOLOv12 using native PyTorch Scaled Dot-Product Attention (SDPA) as an alternative to Flash Attention for agricultural object detection. Our approach achieves ...

Abstract: Recurrent Neural Networks (RNNs) are pivotal in artificial intelligence, excelling in tasks involving sequential data across fields such as natural language processing and time-series ...

With just under two months remaining till the end of the current fiscal year, the Nepal government this week is set to announce its budget for the year 2025/26. Nepal’s budget has grown steadily over ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...