Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

To make our way through the world, our brain must develop an intuitive understanding of the physical world around us, which we then use to interpret sensory information coming into the brain. How does ...

Meta Platforms Inc.’s artificial intelligence research team today said it has open-sourced a new project called Massively Multilingual Speech, which aims to overcome the challenges of creating ...

Supervised learning in ML trains algorithms with labelled data, where each data point has predefined outputs, guiding the learning process. Supervised learning is a powerful technique in the field of ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. In two earlier posts on this blog, I introduced topic models and explored some ...