Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...

How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.

Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...

C tool with 125 MS/s sampling—perfect for fieldwork, classrooms, or your desktop Compact, cost-effective i.MX 91 development board optimized for embedded Linux development Building an indoor ...

The FIND function allows you to find a text string within another. It returns the position at which a character or string begins within another text string. The output of the above function will be 5, ...

Have you ever stared at a sprawling Excel spreadsheet, wondering how to make sense of the chaos? For many, Excel formulas feel like a secret language, powerful yet elusive. But here’s the truth: ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

This project aims to assist you in accessing information from LEGO sets, including Minifigures and other items, using Excel functions and data storage in an Excel spreadsheet. The code can retrieve ...

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

Abstract: In bioinformatics, protein function prediction stands as a fundamental area of research and plays a crucial role in addressing various biological challenges, such as the identification of ...