We're surrounded by machines that talk to us, and we're talking back more than ever. Synthetic voices have moved beyond novelty into everyday tools: podcast narration, virtual coaching apps, and car ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications across chemistry, biology, and materials science.

CAPITIL HILL, Monrovia – Speaker of the House of Representatives, Richard Nagbe Koon, has dissected the progress and challenges of that august body following months of legislative duties over the last ...

Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The key in ...

Purpose: To evaluate the diagnostic accuracy of a deep learning autoencoder-based model utilizing regions of interest (ROI) from optical coherence tomography (OCT) texture enface images for detecting ...

Secondly, collaborative–competitive representation-based autoencoder (CCRAE) is integrated with GBLS to obtain better feature representation. Finally, we apply the CC-GBLS method to the realm of ...