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…

The best databases for AI, IoT, deep learning, machine learning, data science and other software applications

The best databases for AI, IoT, deep learning, machine learning, data science and other software applications

Without databases, most software applications would not be possible. Databases are the cornerstone of all types and sizes of applications: web-based ones for archiving data across enterprise-level projects that require high volumes or speed in transferring large blocks across networks; an integrated system where low-level interfaces with tight timing requirements can be found, unlike anything…

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…

New AI research from China combines machine learning methods with questioning to reveal new dimensions in the connections between supervisor-student relationships

New AI research from China combines machine learning methods with questioning to reveal new dimensions in the connections between supervisor-student relationships

The supervisor-student relationship has a profound impact on creativity. A harmonious supervisor-student relationship is a basis for knowledge transfer and innovations, while a poor supervisor-student relationship mitigates the negative effects of the threat of the power stereotype. The researchers designed two studies to explore the emotional mechanism in the supervisor-student relationship. The researchers collected data…