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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 ...
The AI industry has long been dominated by text-based large language models (LLMs), but the future lies beyond the written word. Multimodal AI represents the next major wave in artificial intelligence ...
Evidation, the leader in direct-from-participant real-world data and health research, is announcing the launch of a first-of-its-kind temporal biospecimen collection platform to support multiomics ...
Data is the holy grail of AI. From nimble startups to global conglomerates, organizations everywhere are pouring billions of dollars to mobilize datasets for highly performant AI applications and ...
While the concept of multimodal AI has been gaining traction, many companies and users still don't understand the significance of this development. While other types of AI can only handle a single ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...
OneMedNet has announced a strategic partnership with Protege, an AI training data platform, to provide real-time access to multimodal patient data for AI developers and researchers in the healthcare ...
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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