Ensemble AI Nearly Perfectly Spots Cause and Effect in Sentences
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
Researchers at Hefei University have developed AMCF, a multimodal AI model that combines bidirectional text-image attention with dual-branch gated fusion ...
A systematic review of 90 peer-reviewed studies charts how artificial intelligence is reshaping litigation while exposing persistent challenges in explainability, ...
A survey of 500 government accountants in Palestine and Jordan finds that ethical concerns mediate the link between four AI ...
Researchers have developed a hybrid model that combines RoBERTa contextual embeddings with sentence-level and chunk-level graph neural networks to improve ...
Researchers have unveiled Atenea, an open-source platform that continuously archives public Telegram channels, enriches messages with NLP, and enables semantic ...
Researchers in Shanghai have developed DNMMA, a framework that cleans noise from both text and images in social media posts ...
Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in ...
Researchers have built an AI portfolio manager that converts financial headlines into structured event nodes that dynamically rewire a market ...
Researchers have developed a divide-and-conquer fake news detection framework combining linguistic features and word embeddings that achieves F1-scores above 98 ...
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© 2025 Scienmag - Science Magazine