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 ...

Recurrent aphthous stomatitis (RAS) is a common condition affecting 20-25% of the population, characterized by recurring oral ulcers. Aphthous ulcers are distinct from cold sores (herpes) and are not ...

In the phase 3 EMBARK trial, enzalutamide plus leuprolide and enzalutamide monotherapy were associated with longer metastasis-free survival than leuprolide alone among patients with biochemically ...

Molecular circuits capable of autonomous learning could unlock novel applications in fields such as bioengineering and synthetic biology. To this end, existing chemical implementations of neural ...

Here is an article about Using HDF5 with Python. Run the following commands to generate train/test/val dataset at data/{METR-LA,PEMS-BAY}/{train,val,test}.npz. As the ...

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 ...

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 ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...