The AI tool improves upon a process called medical image segmentation, where every pixel in an image is labeled based on what it represents — cancerous or normal tissue, for example. This process is ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Our method involves modeling image features as a nine-dimensional feature vector, followed by a dimensionality reduction process to identify the most influential features and dominant areas within the ...

Technological advancements have profoundly transformed the sports domain, ushering it into the digital era. Services ...

The proposed method consists of four stages: training set extension with a patching scheme, feature selection with a kurtosis-based method, denoising with a deep image prior (DIP)-based unsupervised ...