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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 ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
EurekAlert!

New multi-modal AI framework brings human-like reasoning to self-driving vehicles

Comparison of different autonomous driving systems. (a) is rule-based with manually defined rules, (b) is data-driven but lacks diversity in training data, and (c) integrates large language model (LLM ...
VentureBeat

New training method boosts AI multimodal reasoning with smaller, smarter datasets

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...
IEEE

Robust Multimodal Beam Prediction With Missing Modality

Abstract: Utilizing deep learning to fuse multimodal data for millimeter-wave beam prediction can achieve significant performance improvement compared to the conventional unimodal approaches. However, ...
Semiconductor Engineering

Multi-Modal AI In EDA Development Flows

RTL coding is a critical step in the development of semiconductors, but many would argue it is not the most difficult. Things become a lot more complex as you get closer to implementation, and as the ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Search Engine Land

How multimodal discovery is redefining SEO in the AI era

The SEO industry is undergoing a seismic shift – one shaped not just by algorithms but also by evolving user expectations. At the heart of it is a radical transformation in how people search, and ...
IEEE

Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review

Abstract: Multimodal learning analytics (MMLA) is an emerging field of learning analytics and promises a more comprehensive analysis of the learning process thanks to advances in technological devices ...