Deep learning models have achieved striking performance across vision, language and time-series tasks, yet their growing depth and parameter counts impose substantial computational and memory demands.

Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adaptation (UDA) to enhance model generalisability for ...

Pancreatic cystic lesions are being found more frequently as cross-sectional imaging becomes more common. Their clinical ...

HR-positive disease accounts for approximately 70% to 80% of breast cancer diagnoses and carries a risk of recurrence that ...

Researchers have demonstrated that artificial intelligence has the potential to make future visual prostheses, like a bionic ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

USC researchers have developed an approach that uses artificial intelligence to generate detailed maps that highlight differences in how distinct parts of the brain age. The new model also sheds light ...