New AI model reads text, images and social networks to spot cyberbullying
A new multimodal AI system called HMTF-Net combines text, conversation context, user interaction graphs, images and metadata to detect cyberbullying, ...
Tag: multimodal learning
Vision-Language AI Model Detects Bengali Fake News with Explainable Reasoning
Researchers report a multimodal framework combining Bengali OCR, hybrid visual encoders, and vision-language reasoning that achieved 97% accuracy on a ...
Medical Students Worldwide Mostly Prefer Multimodal Learning, Review Finds
A systematic review of 123 studies covering 32,599 medical students in 33 countries found multimodal learning was the most common ...
Cadavers, Models and Videos Teach Anatomy Equally Well, Study Finds
A crossover study of 45 first-year medical students found that prosections, plastic models, and anatomy videos produced comparable knowledge gains, ...
Medical AI Models That Read Images and Write Reports Still Face a Trust Gap
A new narrative review finds that medical vision–language AI models show strong benchmark results but suffer from inconsistent evaluation reporting, ...
Design of an English cross-scene model for enhanced mobile multimedia based on federated learning
A simulated federated model combining speech, images and text improved English translation across classroom, remote and conversational settings without centralizing ...
Semantic Labels Guide Terrain-Specific Humanoid Behavior in Simulation
A simulator study found that semantic terrain labels guided a unified behavior-cloning policy to select flat-ground and stairway behaviors for ...
SALF-Net outperforms baselines on 30,000 short-video music clips
SALF-Net outperformed self-supervised baselines on a 30,000-clip short-video test set, while a distilled version retained 95% of its quality at ...
Multimodal AI system turns regional music into visual classroom cues
A new multimodal model called MusicFormer fuses audio, sheet music, lyrics and regional cultural labels to recognize regional music styles ...
Fed-DATrust Enhances Federated Disaster Assessment Reliability
Fed-DATrust is a cross-stage risk-coordination framework that improves the reliability of federated multimodal learning for disaster damage assessment.
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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