The idea of “reading minds” has shifted from science fiction to a concrete engineering challenge, and the latest breakthroughs suggest the brain’s private code is finally yielding. Researchers are not ...

Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...

How fast can a conversation cross languages without breaking its rhythm?” That is what Google Translate’s latest update has answered with one giant leap in functionality and performance. Live speech ...

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...