Scaling audio-visual learning without labels | MIT News
Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Analysis, and elsewhere have developed a brand new approach for analyzing unlabeled audio and visible information that would enhance the efficiency of machine-learning fashions utilized in functions like speech recognition and object detection. The work, for the primary time, combines two architectures of self-supervised studying, contrastive … Read more