An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

If you want a new method to help you study better, NotebookLM helps turn your lecture notes into flashcards, quizzes, and ...

LLaVA-OneVision-1.5-RL introduces a training recipe for multimodal reinforcement learning, building upon the foundation of LLaVA-OneVision-1.5. This framework is designed to democratize access to ...

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: The design of effective multimodal feature fusion strategies is the key task for multimodal learning, which often requires huge computational costs with extensive expertise. In this paper, ...

Abstract: Multimodal sentiment analysis (MSA) has exhibited superior performance compared to unimodal sentiment analysis. However, in real-world scenarios, multimodal data are prone to being ...

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Accurately ...

Introduction: Plant classification is vital for ecological conservation and agricultural productivity, enhancing our understanding of plant growth dynamics and aiding species preservation. The advent ...

Introduction: Single-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights.

Originally published by Enkrypt AI. Written by Prashanth Harshangi, CTO, Enkrypt AI. Red teaming tests expose major gaps in multimodal AI safety. As generative AI rapidly evolves to process both text ...