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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 ...
Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
Following the recent AI offerings showdown between OpenAI and Google, Meta's AI researchers seem ready to join the contest with their own multimodal model. Multimodal AI models are evolved versions of ...
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 ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
The MIPS S8200 is a RISC-V neural processing unit designed to run transformer-based and agentic AI models directly on ...
H2O.ai Inc. on Thursday introduced two small language models, Mississippi 2B and Mississippi 0.8B, that are optimized for multimodal tasks such as extracting text from scanned documents. The models ...
Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...
Meta has decided to not offer its upcoming multimodal AI model and future versions to customers in the European Union citing a lack of clarity from European regulators, according to a statement given ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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