CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...
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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 ...
1910, the only AI-native biotech pioneering small and large molecule therapeutics discovery, today announced the publication of PEGASUS (TM), a multimodal AI model that achieves state-of-the-art ...
It achieves AI-driven generative design of the first permeable macrocyclic peptide with more than two polar or ionizable fragments. -- Surrogate assays are a breakthrough for AI model training. 1910 ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Abstract: Low-light image enhancement is essential for improving image visibility and quality in real-world nighttime scenarios. Most existing methods that rely on a single RGB image often fail to ...
LLaVA-OneVision-1.5-RL introduces a training recipe for multimodal reinforcement learning, building upon the foundation of LLaVA-OneVision-1.5. This framework is designed to democratize access to ...
1 School of Physical Education, Hunan University of Arts and Science, Changde, Hunan, China 2 School of Data Science, North China University of Technology, Beijing, China Introduction: The increasing ...
This article and associated images are based on a poster originally authored by Matthew Chung, William Guesdon, Kai Lawson-McDowall and Matthew Alderdice and presented at ELRIG Drug Discovery 2025 in ...
Abstract: To extend computational communication research in the era of visual media, this study investigates scalable methods for large-scale video content analysis beyond traditional textual data. We ...
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