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Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
techtimes

Advancing Multimodal AI for Integrated Understanding and Generation

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
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Using multimodal deep learning to detect malicious traffic with noisy labels

The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling of realistic traffic, such as by sand-box ...