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Scaling audio-visual learning without labels

Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-learning models used in applications like speech recognition and object detection. The work, for the first time, combines two architectures of self-supervised learning, contrastive learning and masked data modeling, in an effort to scale machine-learning tasks like event classification in sing. ....

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Shane Watson believes transition from IPL to WTC final in England is extreme for players

Mumbai, June 5: Legendary Australian all-rounder Shane Watson believes that the rapid shift from the fast-paced Indian Premier League (IPL) to the rigours of high-level Test cricket with the red ball in the ICC World Test Championship (WTC) final will be difficult. ....

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