The concept of modality translation introduced by Hulk can be applied beyond human-centric tasks in various fields where multimodal data processing is required. For example:
In healthcare: Modality translation could help integrate medical imaging data (such as MRI scans) with patient records (textual information) for more comprehensive diagnostics.
In autonomous vehicles: Modality translation could facilitate the fusion of sensor data (lidar point clouds, camera images) with natural language commands or traffic signals for safer navigation.
In finance: Modality translation could enable combining financial market data (numerical time series) with news articles or social media sentiment analysis (textual data) for better investment decision-making.
By treating different types of input/output formats as modality translations, this approach can enhance interoperability between diverse sources of information in various domains.