Educational inclusion remains a central challenge for contemporary school systems. Students with specific educational support ...

This review examines how microscopy and computational analysis can identify defects in self-assembled nanosphere structures ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Artificial intelligence-powered self-driving trucks are no longer a distant concept. They are quickly becoming a real solution to some of the logistics industry's biggest challenges. As supply chains ...

3D self-supervised learning (SSL) has faced persistent challenges in developing semantically meaningful point representations suitable for diverse applications with minimal supervision. Despite ...

The Dobb-E domestic robotics system was trained in real people’s homes and could help solve the field’s data problem. A new system that teaches robots a domestic task in around 20 minutes could help ...

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 ...

Abstract: Self-supervised representation learning (SSRL) methods aim to provide powerful, deep feature learning without the requirement of large annotated data sets, thus alleviating the annotation ...