Hypergraph AI Reads Images and Text to Identify Tibetan Medicinal Plants With 98% Accuracy
Researchers in Qinghai have developed MHCNet, a hypergraph-based multimodal AI that classifies Tibetan medicinal plants with 98.11 percent accuracy by ...
Researchers in Qinghai have developed MHCNet, a hypergraph-based multimodal AI that classifies Tibetan medicinal plants with 98.11 percent accuracy by ...
Researchers have built a geometry problem solver that turns diagrams into heterogeneous graphs and aligns them with text, outperforming existing ...
Researchers have developed OphthUS-GPT, a multimodal AI system that automatically generates and interprets diagnostic reports from ophthalmic B-scan ultrasound images ...
A comprehensive new survey documents how reinforcement learning has become a foundational tool for aligning image, video, and 3D generative ...
In a development that could reshape how machine learning systems handle the messy, heterogeneous data of the real world, researchers ...
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© 2025 Scienmag - Science Magazine