MIT researchers, in collaboration with IBM, have developed a new machine-learning technique called CAV-MAE that blends multiple modalities to learn more like humans. The breakthrough method uses contrastive learning and masked data modeling with audio and visual data and aims to replicate how humans perceive and understand the world. CAV-MAE outperformed previous techniques in event classification, providing significant breakthroughs for action recognition, speech recognition, and audio-video generations.
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