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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 ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Mingze Yin et al, published in Health Data Science.3D structures of edited antibodies and corresponding antigens. Credit: Mingze Yin et al, published in Health Data Science. Researchers from Zhejiang ...
Researchers from Zhejiang University and HKUST (Guangzhou) have developed a cutting-edge AI model, ProtET, that leverages multi-modal learning to enable controllable protein editing through text-based ...
In today’s fast-moving biopharma landscape, companies face increasing pressure to deliver the right treatment, to the right patient, at the right time, faster and more efficiently. As our ...
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 ...
Built on Staqu’s JARVIS One AI platform, YAKSH brings real-time, verified and multimodal intelligence to modernise policing ...
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