Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
V, a multimodal model that has introduced native visual function calling to bypass text conversion in agentic workflows.
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models ...
An AI system developed at NYU Abu Dhabi can predict solar wind conditions four days ahead by analyzing detailed images of the Sun. The improved accuracy may help shield satellites, power grids, and ...
In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...
Without photosynthesis we wouldn’t have food because it converts energy from the sun into chemical energy for the food chains. Image by Tim Sandle Without photosynthesis we wouldn’t have food because ...
Abstract: Multimodal medical image fusion (MMIF) extracts the most meaningful information from multiple source images, enabling a more comprehensive and accurate diagnosis. Achieving high-quality ...
What if artificial intelligence could see, read, and understand the world as seamlessly as humans do? Imagine an AI capable of analyzing a complex image, generating a detailed description, and ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. The authors introduce a densely-sampled dataset where 6 ...
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