Check out this new 6G semantic communication framework from Engineering! It uses explicit semantic bases to fix the flaws of traditional methods, ...
NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and ...
Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Abstract: Neural shape representation generally refers to representing 3D geometry using neural networks, e.g., computing a signed distance or occupancy value at a specific spatial position. In this ...
Abstract: We propose an end-to-end deep neural encoder-decoder model to encode and decode brain activity in response to naturalistic stimuli using functional magnetic resonance imaging (fMRI) data.