Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.

Instead, the machine needs a way to convert this information into something it can process. Vector embeddings achieve this by assigning each piece of data a position in a multidimensional space.

This article explores the application of machine learning (ML) in story generation, covering script learning, story completion, and story generation. Various ML techniques, including recurrent neural ...

High accuracy in text classification can be achieved by simultaneously learning multiple sources of information, such as sequence and word. In this study, we propose a novel learning framework for ...

In the realm of natural language processing (NLP) and machine learning, word embeddings have emerged as a breakthrough technique that revolutionizes how computers understand and process human ...

Dictionary definition Contributions from us They present DD-GloVe, a train-time debiasing approach for learning bias-reduced GloVe word embeddings, by leveraging the benefits of definitions. They ...