News
Multimodal large models achieve three-dimensional perception and high-precision reasoning by simultaneously processing and understanding different types of data modalities. For example, when a report ...
Hosted on MSN8mon
What is multimodal AI and why should we care about it? - MSN
From sharper decision-making to creative breakthroughs, learn how multimodal AI is reshaping the way we think about tech.
Recent years have witnessed AI evolve beyond single-mode systems to generate multiple streams of information for multiple ...
The Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab) has announced the open-source release of the ...
Presented in a recent paper, Spirit LM enables the creation of pipelines that mixes spoken and written text to integrate speech and text in the same multimodal model. According to Meta, their ...
According to the research, finetuning is also critical to enhancing the higher-order capabilities of MLLMs. Pretraining gives ...
Mistral AI released Pixtral Large, a 124-billion-parameter multimodal model designed for advanced image and text processing with a 1-billion-parameter vision encoder. Built on Mistral Large 2, it ...
OpenAI has released a new version of its text-to-video AI model, Sora, for ChatGPT Plus and Pro users, marking another step in expansion into multimodal AI technologies. The original Sora model ...
Multimodal AI represents a fundamental shift in how financial systems process information. Rather than analyzing text, images or voice data separately, these systems create a unified intelligence ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results