@heyshrutimishra: BREAKING: Chinese cybersecurity company just found a way around one of AI's most expensive problems. Meta built an AI m…
Summary
360 AI Research presents MoSA, a method that learns object recognition from 10,000 hours of unlabeled video, generating 21 million+ self-labels without human intervention, solving AI's expensive labeling bottleneck.
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BREAKING: Chinese cybersecurity company just found a way around one of AI’s most expensive problems.
Meta built an AI model called SAM that could outline any object in a photo. The catch: it needed millions of hand-labeled images to learn how.
360 AI Research’s new ECCV 2026 paper, MoSA teaches AI to recognize objects by watching video move. No human labels.
10,000 hours of unlabeled video. 21 million+ self-generated labels. Zero humans in the loop. Learn more
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