Improving how AI understands human communication.
It can use both labeled data (data with explanations) and unlabeled data to improve the accuracy of its feature extraction. 6585mp4
In machine learning, "informative" features are those that capture the most important relationships between different types of data (e.g., matching the sound of a voice to the movement of a speaker's lips). Improving how AI understands human communication
The framework is built to remain effective even if one data source (like the audio track of a video) is partially missing. 6585mp4
Because it avoids complex matrix inversions, it is significantly more efficient to optimize than previous multimodal methods.