Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Traditional AI-powered waste classification systems rely on supervised learning methods. These require extensive labeled ...

Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive learning-based ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

Recently, Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive learning-based clustering method for single-cell gene ...