Mayo Clinic AI researchers present machine learning-based method for leveraging diffusion patterns to build a multitasking brain tumor inpainting algorithm

Mayo Clinic AI researchers present machine learning-based method for leveraging diffusion patterns to build a multitasking brain tumor inpainting algorithm

The number of publications on artificial intelligence and, in particular, machine learning (ML) related to medical imaging has increased significantly in recent years. A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 articles in 2021, more than five times the results found in 2011. ML models are constantly being developed…

Researchers from Tsinghua University present a new machine learning algorithm under the meta-learning paradigm

Researchers from Tsinghua University present a new machine learning algorithm under the meta-learning paradigm

Recent achievements in supervised deep learning activities can be attributed to the availability of large amounts of labeled training data. Yet it takes a lot of effort and money to collect accurate labels. In many practical contexts, only a small fraction of the training data has labels attached. Semi-supervised learning (SSL) aims to improve model…

Researchers at Ben-Gurion University of the Negev have designed an AI system that identifies violations of social norms

Researchers at Ben-Gurion University of the Negev have designed an AI system that identifies violations of social norms

The APA Dictionary of Psychology provides a comprehensive definition of social norms as socially determined standards that indicate typical and appropriate behaviors within a specific social context. These norms can be universal, applying broadly to all cultures, or contextual, specific to particular cultural contexts. While social norms vary across cultures and contexts, violations of social…