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 ...

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 ...

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The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

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 ...