Even in teaching materials and trusted sources, images are not neutral. Here, Alexius Chia explains how to guide learners ...

The integration of multi-modal learning with large-scale models has become a transformative force in the fields of artificial intelligence and neurorobotics. Human perception naturally relies on the ...

AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

The Hawaiʻi Department of Transportation has announced the launch of its Priority Multimodal Network, a statewide initiative identifying 113 projects designed to improve pedestrian, bicycle and ...

Abstract: This systematic literature review explores the application of multimodal learning analysis (MMLA), with physiological signals collected through wearable devices as the primary data source, ...

Multimodal perception is essential for enabling robots to understand and interact with complex environments and human users by integrating diverse sensory data, such as vision, language, and tactile ...

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information ...