A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

The increasing prevalence of myopia is a global health concern, with high myopia increasing the risk of vision damage.

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

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 ...

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 ...