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 ...

Semi‐ and unsupervised learning constitute two pivotal paradigms for extracting structure and meaning from data when explicit labels are sparse or entirely absent. In semi‐supervised learning, a small ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

In a recent study published in PNAS, researchers introduced the Genomic Pre-trained Network (GPN), a multispecies model developed to learn genome-wide variant effects by self-supervised pretraining on ...