This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, like vision, audio, touch, lidar, text, and more, from its environment to ...

Abstract: As the real propagation environment becomes increasingly complex and dynamic, millimeter wave beam prediction faces significant challenges. However, the powerful cross-modal representation ...

Abstract: To enhance the feature fusion performance in the current field of multimodal sentiment analysis(MSA), deeply explore and integrate the complex emotional details between modalities, and ...

Hypothesis. Artificial general intelligence is, at its core, a compression problem. Effective compression demands resonance: deep learning scales best when its architecture aligns with the fundamental ...

When applications demand absolute position awareness beyond a single revolution, multi-turn encoders become essential. From industrial automation and robotics to medical and test equipment, these ...

Project Overview Mental health support systems often rely on static questionnaires or text-only interaction. This project explores how multimodal emotion recognition (text, audio, visual) can be ...