Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...

BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...

Abstract: Pedestrian motion are inherently multi-modal in nature influenced by presence of other human and physical objects in the environment. Traiectory prediction models need to address both ...

Abstract: With the development of vehicular network technology, the prediction of vehicle power demand has become significant in intelligent transportation systems and energy consumption optimization.

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...

When his firm was hired to design an auxiliary dwelling unit in a California yard, a designer customized the project with a mix of prefabricated and original features. Ian Miley’s auxiliary dwelling ...

I'm trying to adapt the bitdistiller code for encoder-decoder models. Are there any plans to add support for this? Can some guidance be provided what parts need adaptation? We're running a project to ...

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...