Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
SOPHiA GENETICS, in collaboration with AstraZeneca, conducted a study that leveraged advanced AI-driven techniques to identify subgroups of stage IV non-small cell lung cancer (NSCLC) patients who ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
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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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...
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