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 ...

Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised ...

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Learning visual speech representations from talking face videos is an important problem for several speech-related tasks, such as lip reading, talking face generation, audio-visual speech separation, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at the MIT Computer Science and ...

Noetik, an AI-native biotech company developing self-supervised machine learning and high-throughput spatial data to develop ...

MIT researchers have developed a self-supervised robotic system that dramatically accelerates contact-based material characterization by autonomously guiding a probe to perform over 125 precise ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...