Meta Platforms Inc.’s artificial intelligence research team today announced an updated version of its powerful data2vec algorithm that enables extremely efficient self-supervised learning for ...

The MMS project trained multiple, self-supervised models on around 500,000 hours of speech data in over 1,400 languages, before fine-tuning the resulting models for a specific speech task, such as ...

Supervised deep learning has given us plenty of very useful applications, especially in fields such as computer vision and some areas of natural language processing.

Self-learning has also come to Computer Vision, with companies like Facebook open sourcing self learning packages that are competing with fully supervised learning on vision tasks.

However the emergence of self supervised learning (SSL) methods, which have already revolutionized natural language processing, could hold the key to imbuing AI with some much needed common sense.

Auli and his colleagues at Meta AI had been working on self-supervised learning for speech recognition. But when they looked at what other researchers were doing with self-supervised learning for ...

The library facilitates self-supervised learning at scale by integrating algorithms that reduce the per-GPU memory requirement and increase the training speed of any given model.

The clinic operates thanks, in part, to donations from the public. Support the Paul C. Reinert Speech-Language and Hearing Clinic Through services such as comprehensive evaluation and treatment, ...