Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Mobile news classification systems face significant challenges due to their large scale and complexity. In this paper, we perform a comprehensive comparative study between traditional classification ...

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. Let’s explore some key design patterns that are particularly useful in AI and ...

Irma is a junior front-end developer with a great passion for AI since the boom of ChatGPT. She learned the basics of machine learning for free on the platform Kaggle and feels excited going even ...

With the advancement of source-load interaction in the new power systems, data-driven approaches have provided a foundational support for aggregating and interacting between sources and loads. However ...

Document similarity is a crucial concept in natural language processing (NLP) that measures how closely two or more documents are related in terms of their content. It is widely used in applications ...

In the last year, chatbots powered by large language models are everywhere and even … useful. But how do they work? Large language models (LLMs) are the fundamental architecture behind chatbots like ...

With advances in deep learning and natural language processing (NLP), the analysis of medical texts is becoming increasingly important. Nonetheless, despite the importance of processing medical texts, ...

kwx is a toolkit for multilingual keyword extraction based on Google's BERT, Latent Dirichlet Allocation and Term Frequency Inverse Document Frequency. The package provides a suite of methods to ...