Abstract: Recurrent neural networks (RNNs), particularly long short-term memory (LSTM) networks, have emerged as standard tools for tackling a wide range of time series applications, such as natural ...
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 ...
With the growing pressures for enhanced service delivery in Nigeria and the challenges of budgetary crises and fiscal shocks, the need for improved budget processes and innovative financial management ...
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 ...
CPUs and GPUs are old news. These days, the cutting edge is all about NPUs, and hardware manufacturers are talking up NPU performance. The NPU is a computer component designed to accelerate AI tasks ...
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 ...
About 20 years ago, researchers showed that three simple measures improve outcomes for stroke survivors: First, take patients’ temperatures and immediately bring down any fevers. Second, test blood ...
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 ...
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