white matter microstructure (WM-BAG), and functional connectivity (FC-BAG). We identified sixteen genomic loci that reached genome-wide significance (P-value < 5×10−
Herein, we report on a history courseware mode that integrates various historical teaching media, including 360-degree VR, paintings, maps, infographics, text, audio, and videos, based on the SCORM standard. These media elements are used to provide learners with a multimodal learning experience in...
Multimodal sentiment analysis on images with textual content is a research area aiming to understand the sentiment conveyed by visual and textual elements in the images. While multimodal sentiment analysis on images and text (reviews) has its own challenges, the combination of textual and visual ...
you generate text summarization using a VLM from different data types, embed text summaries along with raw data accordingly to a vector database, and store raw unstructured data in a document store. The query will prompt the LLM to retrieve relevant vectors from both the vector ...
# Sample messages for batch inference messages1 = [ { "role": "user", "content": [ {"type": "image", "image": "file:///path/to/image1.jpg"}, {"type": "image", "image": "file:///path/to/image2.jpg"}, {"type": "text", "text": "What are the common elements in the...
The xml:id of the is the unique identifier for the given notehead within the entire MSMD dataset. The is its identifier within the given score, which works across pages even though the MuNG for each page is stored in a separate file. The , , and elements denote its bounding box. (The...
print(dataset[text_field]['5W7Z1C_fDaE[9]']['features']) 输出 [[b'its'] [b'completely'] [b'different'] [b'from'] [b'anything'] [b'sp'] [b'weve'] [b'ever'] [b'seen'] [b'him'] [b'do'] [b'before']] print(dataset[label_field]['5W7Z1C_fDaE[10]']['intervals']...
Multimodal AI is changing how we interact with large language models. In the beginning we typed in text, and got a response. Now we can upload multiple types of files to an LLM and have it parsed. Blending natural language processing and computer vision, these models can interpret text, ana...
However, given a large-scale cross-modal foundation model like our BriVL, we can visualize any text input by using the joint image-text embedding space as the bridge. Concretely, we first input a piece of text and obtain its text embedding through the text encoder of BriVL. Next, we ...
Metaphor is an important tool for people to use in their perception of the world, but its representational forms vary across genres. Using Nvivo 12 plus as a tool, this study employs a combination of quantitative and qualitative methods to investigate th