Abstract: In this tutorial, the application of large language models (LLMs) in replicating complex remote sensing algorithms is explained, using permanent scatterer interferometric synthetic aperture ...

Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...

Courtney Gibbons is affiliated with the Association for Women in Mathematics and the American Mathematical Society. You might remember learning about the quadratic formula to figure out the solutions ...

Algebra often involves manipulating numbers or other objects using operations like addition and multiplication. Flavio Coelho/Moment via Getty Images You scrambled up a Rubik’s cube, and now you want ...

Abstract: Natural Language Processing (NLP) is a tract of artificial intelligence and linguistics devoted to making computers understand the statements or words written in human languages. Amharic, ...

This study was conducted to identify elements of English pronunciation foreign to the learners' native language and to spot possible difficulty areas that native Amharic speaking learners might ...

Google is only the latest to fuse large language models with robots. The trend has big implications. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like ...

The tool could offer new insights into the neuroscience of language, and someday, it could help improve technologies designed to recognize speech or help people communicate, the researchers say. Based ...

Innovation: Identified a subset of the model (a circuit) that explains most of the model’s behavior for basic arithmetic logic and examine its functionality. Tasks: Analyzed attention patterns using ...

MIT this week showcased a new model for training robots. Rather than the standard set of focused data used to teach robots new tasks, the method goes big, mimicking the massive troves of information ...