A unique cipher that uses playing cards and dice to turn languages into glyphs produces text eerily similar to the glyphs in ...
We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
1 Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China 2 National Key Laboratory of ...
Abstract: Recent advancements in deep learning for semantic communication have been significant, yet fixed-length encoding techniques struggle to capture the complex and variable nature of semantic ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
If you want to improve the way Windows Search works on your computer, we recommend you use Semantic Search. It is a new feature introduced in Windows 11, allowing Windows to leverage AI to search ...
Propagation of light pulses with intermodal dispersion in MMF. Words are mapped to different frequencies (different colors), the optical pulses are stretched into different temporal dispersion curves.
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