Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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

How Yahoo escaped its Verizon death spiral and became profitable again. If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is editor-in-chief of The ...

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 ...

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 ...

This dataset is a subset of the full NASDAQ 100 stock dataset used in [1]. It includes 105 days' stock data starting from July 26, 2016 to December 22, 2016. Each day contains 390 data points except ...

We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...

[2025/11/03 16:31:26] ppocr INFO: train with paddle 2.6.1 and device Place(cpu) [2025/11/03 16:31:26] ppocr INFO: Initialize indexes of datasets:['./train_data/train ...

BRANSON, Mo.—Link Electronics has unveiled the Gemini Dual Caption Encoder, a next-generation captioning solution for broadcasters and institutions. By enabling two caption encoders to connect through ...

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 ...